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Bird nests can provide habitats for various invertebrates, including ectoparasites, scavengers, and predators. Records of ants associating with active bird nests mostly involve the insects searching for food, with some exceptional records of ants raising their broods (eggs, larvae or pupae) within songbird nests in nest-boxes or tree cavities. We present data for a previously undocumented, but apparently regular, occurrence of ants and their broods within the active nests of a songbird, the wood warbler Phylloscopus sibilatrix (Bechstein, 1793), which builds domed nests on the ground in European forests. Systematic recording found ants, mostly Myrmica ruginodis Nylander, 1846, in 43% of 80 wood warbler nests in the primary forest of Białowieża National Park (Poland) during the springs of 2016-2017, including ant broods in 30%. Ad hoc records from this site in 2004-2015 found ants in a further 29% of 163 nests, including broods in 20%, indicating a regular association. However, examination of 37 nests from secondary forest in Switzerland and Great Britain founds ants in only 14%, and broods in just 5%. We discuss the potential drivers and mechanisms of the observed association between breeding wood warblers and ants, including the apparent difference in frequency between the primary and secondary forests. [ABSTRACT FROM AUTHOR]

The article is aimed at reconsidering the question if the project of econometrics can be read in line with scientific realism. Previously, the methodological literature focused on the philosophy of econometrics, voices criticizing realist interpretations of econometrics were raised. The criticism was aimed at showing that econometric models lack robustness. The use of slightly different methods leads to obtaining different and often contrary models what supposedly undermine the project of econometrics. In this article, I aim at offering a new argument in defence of the current practice of the economists devoted to the empirical branch of macroeconomics. To do so, I apply Uskali Mäki’s (2009) model of representation to three case studies of contradictory pairs of econometric models and argue that contrary results are not necessarily a drawback of econometrics. Instead, the seemingly contradictory pairs of models are useful in various contexts constituted by their purpose and audience.

The paper aims to develop our understanding of the processes and mechanisms leading to economic instability. The research design and methods: the paper employs a simple game-theoretic model aimed at depicting why the mechanism connecting nonmaterial motivation of managers and the propensity of economic systems is unstable. The findings are as follows: managers, driven by the nonmaterial value of work, choose strategies that maximize the likelihood of prolonging their employment. Shortsighted CEOs may prefer strategies that offer smooth returns and an unlikely “catastrophic event.” If the unification of strategies occurs, the situation leads to a crisis and recession in the long run. The model put forth in this paper is shown to resemble the mechanism of the 2007-2008 financial crisis.

Adhesive bonding is currently one of the most popular techniques of joining different materials. It is worth noting that this process is more and more often used in several industries: automotive, transport, mechanical engineering, medicine, electronics, light industry, as well as many others. The present article is aimed at determining an impact of selected structural, material and exploitation factors on adhesive bonds' strength. Strength tests were carried out on adhesive connections of pine wood. An exploitation factor under analysis was resistance to different temperature values - both positive and negative. Six different variants of a bonds' seasoning temperature value were used. Another variable factor was a structure of bonds, i.e. adhesive butt joints and adhesive half lap joints. Also, two types of adhesives were used: one of them was dedicated to wooden elements bonding, whereas the second one was a two-component adhesive composition based on epoxide resin. Strength tests described in the present article showed substantial impact of selected structural, material and exploitation factors on the adhesive bonds' strength.

This paper presents the experimental and numerical studies of last stage LP mistuned steam turbine bladed discs during run-down. The natural frequencies and mode shapes of the turbine bladed disc were calculated using an FE model. The influence of shaft was considered. The tip-timing method was used to find the mistuned bladed disc modes and frequencies. The numerical results were compared with experimental ones.

We revisit John Worrall's old but still prominent argument against the view that randomization balances the impact of both known and unknown confounders across the treatment and control arms. We argue that his argument involving indefinitely many possible confounders is at odds with statistical theory as it (1) presumes that the purpose of randomized studies is obtaining perfect point estimates for which perfect balance is needed; (2) mistakes equalizing each confounder with the overall (average) impact of all confounders, and (3) assumes that the joint effect of an infinite series of confounders cannot be bounded. We defend the role of randomization in balancing the impact of confounders across the treatment and control arms by putting forward the statistical sense of the balance claim. It involves the following three commitments: (1) randomization balances confounders in expectancy, (2) for RCTs to deliver unbiased estimates of the causal effect (true average treatment effect), the balance in the average effect of all confounders and not balancing each confounder is sufficient, and (3) randomization allows for calculating the probability of deviating from the balance. The paper includes a review of how the balance claim has been understood so far and discusses recent arguments supporting randomization balancing the impact of confounders in expectancy and the crucial role of the average impact of all actual confounders, and shows how statistical analysis of RCTs conducted both at the design and analysis stage makes possible estimating the probabilities of deviating from the balance., (© 2025. Springer Nature Switzerland AG.)

Objective: We investigated whether prepregnancy BMI (prePregBMI) in women with obesity was associated with differential DNA methylation (DNAm) in cord blood (CB) and whether DNAm may mediate the association of prePregBMI and early childhood BMI z score (BMIz)., Methods: From the Treatment of Obese Pregnant Women (TOP) study, 232 mother-child pairs were included. We conducted an epigenome-wide association study on prePregBMI and CB DNAm (450k array), followed by causal mediation analyses to test whether DNAm may mediate effects of prePregBMI on  BMIz at age 36 months (BMIz36)., Results: DNAm at 5345 CpG sites annotated to 2842 genes, which were overrepresented in biological processes linked to carbohydrate metabolism and plasma lipoprotein particle clearance, was associated with prePregBMI (false discovery rate < 10%). Causal mediation analyses of 168 methylation sites associated with BMIz36 (p < 0.05) and overlapping with the 5345 prePregBMI-associated sites identified two sites on SYT7 and DEAF1, partially mediating the effect of prePregBMI on BMIz36 (p ≤ 0.01). After cross-validation, a methylation risk score including these two sites could predict the highest quartile of BMIz36 and fat mass (in grams) with area under the curve = 0.72 (95% CI: 0.58-0.85) and area under the curve = 0.71 (95% CI: 0.58-0.85), respectively., Conclusions: CB DNAm at birth may partially mediate effects of prePregBMI on early childhood BMIz36, supporting its plausible role in influencing individual future obesity risk., (© 2024 The Author(s). Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.)

There is an increasing need for new biomarkers improving prediction of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D). We aimed to identify blood-based epigenetic biomarkers associated with incident CKD and develop a methylation risk score (MRS) predicting CKD in newlydiagnosed individuals with T2D. DNA methylation was analysed epigenome-wide in blood from 487 newly-diagnosed individuals with T2D, of whom 88 developed CKD during 11.5-year follow-up. Weighted Cox regression was used to associate methylation with incident CKD. Weighted logistic models and cross-validation (k=5) were performed to test if the MRS could predict CKD. Methylation at 37 sites was associated with CKD development, based on FDR<5% and absolute methylation differences ≥5% between individuals with incident CKD and those free of CKD during follow-up. Notably, 15 genes annotated to these sites, e.g., TGFBI, SHISA3, and SLC43A2 (encoding LAT4), have been linked to CKD or related risk factors including blood pressure, BMI, or eGFR. Using a MRS including 37 sites and cross-validation for prediction of CKD, we generated ROC curves with AUC=0.82 for the MRS and AUC=0.87 for the combination of MRS and clinical factors. Importantly, ROC curves including the MRS had significantly better AUCs versus the one only including clinical factors (AUC=0.72). The combined epigenetic biomarker had high accuracy in identifying individuals free of future CKD (negative predictive value=94.6%). We discovered a high-performance epigenetic biomarker for predicting CKD, encouraging its potential role in precision medicine, risk stratification, and targeted prevention in T2D., (© 2024 by the American Diabetes Association.)

Background and Objectives: COVID-19 negatively influenced resident wellbeing in nursing homes (NHs). We examine perceptions and experiences of U.S. NH staff during the COVID-19 pandemic regarding resident wellbeing., Research Design and Methods: We sampled 68 NHs (out of 13,423) in strata defined by quality ratings, urban/rural location, and whether they served a resident population of <70% White. We enrolled 10 NHs and interviewed 11 nursing staff (8 certified nursing assistants/aides, 3 registered or licensed practical/vocational nurses), 12 managerial staff (4 administrators, 8 Directors of Nursing), and 5 infection preventionists. Thematic analysis identified themes related to challenges of quarantine/isolation, attempted solutions, and lessons learned concerning resident wellbeing., Results: NH managerial, infection prevention and nursing staff described how COVID-19 policies contributed to increased resident loneliness and declines in physical and cognitive wellbeing. Solutions/strategies employed across the U.S. and in low-and high-quality NHs included proactive mental health support, resident-centered family visitation, increased communication and care planning with families and efforts to maintain resident normalcy., Discussion and Implications: Strategies to mitigate and alleviate concerns with resident wellbeing were both structural and made via staff choices. NH leadership needs to proactively plan how to adapt processes and structures that prioritize resident wellbeing along with resident care in times of crisis. Research is needed to outline the planning, implementation, and recommendations required to operationalize these strategies into practice. Determining the most effective ways to implement these structural changes within NH practices and workflows is critical to ensure that staff have sufficient time to spend with residents., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: The Coronavirus Disease 2019 (COVID-19) pandemic's severe long-term care (LTC) disease burden underscores the need for infection prevention and control (IPC) expertise in LTC facilities. Launched in 2023, the LTC Certification in Infection Prevention (LTC-CIP) exam allows LTC infection preventionists to demonstrate proficiency in IPC program management. This study aims to evaluate the LTC-CIP certification's impact on certificants' IPC practices, programs, and personal and professional growth., Methods: An electronic survey was distributed to all certificants in March 2024. Data were analyzed using thematic analysis., Results: Eighty responses were collected (17% response rate). Key themes were identified regarding certification's impact on IPC practices, including best practice implementation, enhanced knowledge and skills, and increased confidence and professional growth. Respondents reported certification resulted in enhanced program effectiveness, improved staff knowledge and compliance, and increased leadership and influence. Additionally, certificants reported lower infection rates, improved antimicrobial stewardship and vaccine adherence, and stronger data analysis skills., Discussion: The findings demonstrate LTC-CIP certificants were highly motivated to gain advanced LTC IPC knowledge and apply it to their IPC programs, leading to reported improvements in resident and staff outcomes., Conclusions: This study highlights the LTC-CIP certification's positive impact on reported IPC practices, infection rates, and professional growth in LTC settings. Future research should validate findings with objective outcome data, assess long-term effects, broader applicability, and certification barriers., (Copyright © 2024. Published by Elsevier Inc.)

Medication can affect the gut microbiota composition and function. The aim of this study was to investigate connections between use of common non-antibiotic medicines and the gut microbiota composition and function in a large Swedish cohort (N = 2223). Use of 67 medications and polypharmacy (≥ 5 medications), based on self-reported and prescription registry data, were associated with the relative abundance of 881 gut metagenomic species (> 5% prevalence) and 103 gut metabolic modules (GMMs). Altogether, 97 associations of 26 medications with 40 species and of four medications with five GMMs were observed (false discovery rate < 5%). Several earlier findings were replicated like the positive associations of proton pump inhibitors (PPIs) with numerous oral species, and those of metformin with Escherichia species and with lactate consumption I and arginine degradation II. Several new associations were observed between, among others, use of antidepressants, beta-blockers, nonsteroidal anti-inflammatory drugs and calcium channel blockers, and specific species. Polypharmacy was positively associated with Enterococcus faecalis, Bacteroides uniformis, Rothia mucilaginosa, Escherichia coli and Limosilactobacillus vaginalis, and with 13 GMMs. We confirmed several previous findings and identified numerous new associations between use of medications/polypharmacy and the gut microbiota composition and functional potential. Further studies are needed to confirm the new findings., (© 2024. The Author(s).)

To examine the association between demographic characteristics (i.e., gender, race, age, and years of experience), burnout, and nurses' intent to leave their jobs during the first wave of COVID-19 in New Jersey. COVID-19 has exacerbated burnout and intent to leave among acute care nurses. Nonetheless, little is known about demographic factors contributing to nurses' desire to leave their jobs. A cross-sectional survey of actively licensed registered nurses who provided direct patient care in an acute care hospital in New Jersey during COVID-19. Among 2760 nurses, those who reported burnout were 4.78 times more likely to report intent to leave their job within 1 year as compared to nurses who did not report burnout. Black RNs were 2.06 times more likely to report intent to leave as compared to White RNs. Older nurses (aged 40-49) were 36% less likely to report intent to leave as compared to younger nurses (aged 21-29). RNs with 30 years of experience or more were 58% less likely to report intent to leave as compared to RNs with less than 5 years of experience. In addition, Black RNs with 6-12 years of experience were 2.07 times more likely to report intent to leave as compared to White RNs with less than 5 years of experience. Nurses' intent to leave during the first wave of the pandemic was influenced by burnout, race, age, and years of experience. Based on the results of the current study, Black nurses were more likely to report intent to leave their job within 1 year as compared to White RNs. Nurses' intention to leave is one of the most important global issues facing the healthcare system. Findings of the current study demonstrate that burnout, race, age, and years of experience are significant predictors of nurses' intent to leave their jobs. Therefore, organizations should prioritize strategies to reduce burnout and create diverse and inclusive work environments., (© 2024 The Author(s). Research in Nursing & Health published by Wiley Periodicals LLC.)

Aim: To develop a framework for understanding the stress appraisal process among acute care nurses during the COVID-19 pandemic., Design: A secondary analysis of open-ended responses from a cross-sectional survey of 3030 frontline, acute care nurses in New Jersey and the effect of burnout during the COVID-19 pandemic., Methods: Lazarus and Folkman's transactional model of stress and coping guided the study. Thematic analysis was used to analyse 1607 open-ended responses., Results: Nine themes emerged during the secondary appraisal of stress. Five themes contributed to distress and burnout including (1) high patient acuity with scarce resources, (2) constantly changing policies with inconsistent messaging, (3) insufficient PPE, (4) unprepared pandemic planning and (5) feeling undervalued. Four themes led to eustress and contributed to post-traumatic growth including (1) team nursing to ensure sufficient resource allocation, (2) open channels of communication, (3) sense- of-duty and (4) personal strength from new possibilities., Conclusion: The COVID-19 pandemic was a traumatic event for patients and the nursing workforce. Internal and external demands placed on acute care nurses increased burnout, however, a subset of nurses with adequate support experienced personal growth., Implications for the Profession And/or Patient Care: Beyond mental health interventions for acute care nurses, organizational interventions such as reevaluation of emergency action plans to optimize resource allocation, and work environment strategies such as improved communication and decision-making transparency are necessary., Impact: To better understand how frontline acute care nurses experienced stress during COVID-19, a data-informed framework was developed that included a primary and secondary appraisal of stress. Themes contributing to distress and burnout were identified, and themes leading to eustress and post-traumatic growth were also identified. These findings can assist nurse leaders in optimizing strategies to reduce burnout and promote post-traumatic growth in the post-COVID years., Reporting Method: No patient or public contribution., (© 2024 The Authors. Journal of Advanced Nursing published by John Wiley & Sons Ltd.)

Background: Two or more autoantibodies against either insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A) or zinc transporter 8 (ZnT8A) denote stage 1 (normoglycemia) or stage 2 (dysglycemia) type 1 diabetes prior to stage 3 type 1 diabetes. Automated multiplex Antibody Detection by Agglutination-PCR (ADAP) assays in two laboratories were compared to single plex radiobinding assays (RBA) to define threshold levels for diagnostic specificity and sensitivity., Methods: IAA, GADA, IA-2A and ZnT8A were analysed in 1504 (54% females) population based controls (PBC), 456 (55% females) doctor's office controls (DOC) and 535 (41% females) blood donor controls (BDC) as well as in 2300 (48% females) patients newly diagnosed (1-10 years of age) with stage 3 type 1 diabetes. The thresholds for autoantibody positivity were computed in 100 10-fold cross-validations to separate patients from controls either by maximizing the χ 2 -statistics (chisq) or using the 98th percentile of specificity (Spec98). Mean and 95% CI for threshold, sensitivity and specificity are presented., Findings: The ADAP ROC curves of the four autoantibodies showed comparable AUC in the two ADAP laboratories and were higher than RBA. Detection of two or more autoantibodies using chisq showed 0.97 (0.95, 0.99) sensitivity and 0.94 (0.91, 0.97) specificity in ADAP compared to 0.90 (0.88, 0.95) sensitivity and 0.97 (0.94, 0.98) specificity in RBA. Using Spec98, ADAP showed 0.92 (0.89, 0.95) sensitivity and 0.99 (0.98, 1.00) specificity compared to 0.89 (0.77, 0.86) sensitivity and 1.00 (0.99, 1.00) specificity in the RBA. The diagnostic sensitivity and specificity were higher in PBC compared to DOC and BDC., Interpretation: ADAP was comparable in two laboratories, both comparable to or better than RBA, to define threshold levels for two or more autoantibodies to stage type 1 diabetes., Funding: Supported by The Leona M. and Harry B. Helmsley Charitable Trust (grant number 2009-04078), the Swedish Foundation for Strategic Research (Dnr IRC15-0067) and the Swedish Research Council, Strategic Research Area (Dnr 2009-1039). AL was supported by the DiaUnion collaborative study, co-financed by EU Interreg ÖKS, Capital Region of Denmark, Region Skåne and the Novo Nordisk Foundation., Competing Interests: Declaration of interests FJC, DG, DT, PVR, DS and CTT are employed by Enable Biosciences. FJC, DG, DT, PVR, DS and CTT are shareholders of Enable Biosciences. PVR and CTT are inventors of the ADAP patent licensed from University of California, Berkeley to Enable Biosciences. This does not alter our adherence to journal policies on sharing data and materials. All authors critically reviewed and approved the manuscript., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Muscular atrophy is a complex catabolic condition that develops due to several inflammatory-related disorders, resulting in muscle loss. Tumor necrosis factor alpha (TNF-α) is believed to be one of the leading factors that drive inflammatory response and its progression. Until now, the link between inflammation and muscle wasting has been thoroughly investigated, and the non-coding RNA machinery is a potential connection between the candidates. This study aimed to identify specific miRNAs for muscular atrophy induced by TNF-α in the C2C12 murine myotube model. The difference in expression of fourteen known miRNAs and two newly identified miRNAs was recorded by next-generation sequencing between normal muscle cells and treated myotubes. After validation, we confirmed the difference in the expression of one novel murine miRNA (nov-mmu-miRNA-1) under different TNF-α-inducing conditions. Functional bioinformatic analyses of nov-mmu-miRNA-1 revealed the potential association with inflammation and muscle atrophy. Our results suggest that nov-mmu-miRNA-1 may trigger inflammation and muscle wasting by the downregulation of LIN28A/B, an anti-inflammatory factor in the let-7 family. Therefore, TNF-α is involved in muscle atrophy through the modulation of the miRNA cellular machinery. Here, we describe for the first time and propose a mechanism for the newly discovered miRNA, nov-mmu-miRNA-1, which may regulate inflammation and promote muscle atrophy.

Background: Nutritional deficiencies are frequently observed in patients with head and neck cancer (HNC) undergoing radiation therapy. microRNAs (miRNAs) were found to play an important role in the development of metabolic disorders throughout regulation of genes involved in inflammatory responses. This study aimed to explore the correlation between pre-treatment miR-5682 expression and parameters reflecting nutritional deficits in laryngeal cancer (LC) patients subjected to radiotherapy (RT)., Methods: Expression of miR-5682 was analyzed in plasma samples of 56 male LC individuals. Nutritional status of LC patients was assessed using anthropometric and laboratory parameters, bioelectrical impedance analysis (BIA) and clinical questionnaires., Results: A high expression of miR-5682 was associated with significantly lower values of BMI, fat mass, fat-free mass and plasma albumin at selected periods of RT course. miR-5682 allowed us to distinguish between patients classified with both SGA-C and low albumin level from other LC patients with 100% sensitivity and 69.6% specificity (AUC = 0.820; p < 0.0001). Higher expression of studied miRNA was significantly associated with shorter median overall survival (OS) in LC patients (HR = 2.26; p = 0.008)., Conclusions: analysis of miR-5682 expression demonstrates a potential clinical utility in selection of LC patients suffering from nutritional deficiencies developing as a consequence of RT-based therapy.

G protein-coupled receptors (GPCRs) are the largest family of druggable proteins encoded in the human genome, but progress in understanding and targeting them is hindered by the lack of tools to reliably measure their nuanced behavior in physiologically relevant contexts. Here, we developed a collection of compact ONE vector G-protein Optical (ONE-GO) biosensor constructs as a scalable platform that can be conveniently deployed to measure G-protein activation by virtually any GPCR with high fidelity even when expressed endogenously in primary cells. By characterizing dozens of GPCRs across many cell types like primary cardiovascular cells or neurons, we revealed insights into the molecular basis for G-protein coupling selectivity of GPCRs, pharmacogenomic profiles of anti-psychotics on naturally occurring GPCR variants, and G-protein subtype signaling bias by endogenous GPCRs depending on cell type or upon inducing disease-like states. In summary, this open-source platform makes the direct interrogation of context-dependent GPCR activity broadly accessible., Competing Interests: Declaration of interests The authors declare no conflict of interests., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Infection preventionists (IPs) work and practice in a variety of roles across many practice settings. While the health care-based IP role has been well studied, less is known about IPs who work in public health, consultant, and academic roles., Methods: Data were collected as a subset of the Association for Professionals in Infection Prevention and Control and Epidemiology 2020 MegaSurvey. Descriptive and bivariate analyses were performed to compare the responses of 147 IPs working in public health, consulting, or academic roles., Results: Respondents identified their primary IP role as public health (40%), consulting (39%), or academic (21%). Most were White and non-Hispanic females working in long-term care, acute care, and outpatient settings. Most had over 11 years of experience in health care before IP, with nursing being the most common. More consultants were certified in infection control (74%). While half of the respondents in public health reported being certified in infection control, and a third had 6 or more years of experience in infection prevention and control, they reported the lowest annual salary and satisfaction with total compensation., Discussion: These findings highlight the characteristics and contributions of infection prevention and control in nontraditional roles and settings. Certification and fair compensation are crucial factors for professional development and job satisfaction., Conclusions: These insights can guide future education, recruitment, and retention strategies for IPs in public health, consulting, and academic roles., (Copyright © 2023 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Mast seeding is the episodic, massive production of plant seeds synchronized over large areas. The resulting superabundance of seeds represents a resource pulse that can profoundly affect animal populations across trophic levels. Following years of high seed production, the abundance of both seed consumers and their predators increase. Higher predator abundance leads to increased predation pressure across the trophic web, impacting nonseed consumers such as the wood warbler Phylloscopus sibilatrix through increased nest predation after tree mast years. Over the past 30 years, the frequency of tree seed masts has increased, while wood warbler populations have declined in several regions of Europe. We hypothesized that increasing mast frequencies may have contributed to the observed population declines by creating suboptimal breeding conditions in years after masting. We measured reproductive output in four study areas in central Europe, which was between 0.61 and 1.24 fledglings lower in the years following masting than nonmasting. For each study area, we used matrix population models to predict population trends based on the estimated reproductive output and the local mast frequencies. We then compared the predicted with the observed population trends to assess if the frequency of mast years had contributed to the population dynamics. In Wielkopolska National Park (PL) and Hessen (DE), masting occurred on average only every 4 years and populations were stable or nearly so, whereas in Jura (CH) and Białowieża National Park (PL), masting occurred every 2 and 2.5 years, respectively, and populations were declining. The simple matrix population models predicted the relative difference among local population trends over the past 10-20 years well, suggesting that the masting frequency may partly explain regional variation in population trends. Simulations suggest that further increases in mast frequency will lead to further declines in wood warbler populations. We show that changes in a natural process, such as mast seeding, may contribute to the decline in animal populations through cascading effects., (© 2023 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)

The existing philosophical views on what is the meaning of causality adequate to medicine are vastly divided. We approach this question and offer two arguments in favor of pluralism regarding concepts of causality. First, we analyze the three main types of research designs (randomized-controlled trials, observational epidemiology and laboratory research). We argue, using examples, that they allow for making causal conclusions that are best understood differently in each case (in agreement with a version of manipulationist, probabilistic and mechanistic definitions, respectively). Second, we analyze clinical practice and argue that these manipulationist, probabilistic and mechanistic causal claims can be used as evidence for different therapeutic decisions. We differentiate among 'predicting' that does not change the relata of causal claims, (mechanistic) 'interferences', and 'interventions' in the strict sense that act on causes to change effects. The central conclusion is that causal claims agreeing with diverse concepts of causality can deliver evidence for different types of therapeutic decisions., (© The Author(s) 2023.)