Evidence map›Paper›PMID 42474569›Full record

ArticleTropical animal health and production2026

Determination of risk factors for neonatal calf diarrhea using survival analysis.

Guven Gungor, Savas Sariozkan, Aytac Akcay

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Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Guven GungorDepartment of Biostatistics, Ceyhan Veterinary Faculty, Çukurova University, Adana, 01330, Türkiye. ggungor@cu.edu.tr.ORCID http://orcid.org/0000-0003-3695-9443
Savas SariozkanDepartment of Animal Health Economics and Management, Faculty of Veterinary Medicine, Erciyes University, Kayseri, 38000, Türkiye.ORCID http://orcid.org/0000-0003-2491-5152
Aytac AkcayDepartment of Biostatistics, Faculty of Veterinary Medicine, Ankara University, Ankara, 06000, Türkiye.ORCID http://orcid.org/0000-0001-6263-5181

Funding

Bilimsel Araştırma Projeleri, Erciyes Üniversitesi TDK-2022-12273
6 · The paper itself

Abstract

This study aimed to investigate the distribution of neonatal calf diarrhea according to various risk factors, estimate calf survival times and probabilities, and establish a multivariate model to identify significant risk factors. During the study period, 689 calves born on a farm were monitored throughout the neonatal period (1-28 days). Potential risk factors included calf-related variables (birth season, sex, breed, colostrum intake, colostrum intake method, twinning, birth weight, colostrum quality) and dam-related variables (dry period length, gestation length, calving type, age at first service, parity, number of artificial inseminations per conception). Cumulative survival probabilities and survival times were estimated using the Kaplan-Meier method. The Cox proportional hazards regression model was used to identify independent risk factors significantly associated with the hazard of neonatal diarrhea. Diarrhea was observed in 377 (54.7%) of the total 689 calves. The cumulative survival probability was 42.9% by day 28. The mean and median times to diarrhea onset were 17.9 and 14.0 days, respectively. The final multivariate model identified significant interactions: higher colostrum quality (HR: 0.848), higher birth weight in the absence of dystocia (HR: 0.991), and the time-dependent effect of birth weight (HR: 0.997) were associated with reduced hazard of diarrhea. In conclusion, this single-farm prospective study identifies colostrum quality and the interaction between birth weight and dystocia as significant predictors of time to neonatal diarrhea. The risk factors and their ratios provide managerial decision support for farmers. Furthermore, the results highlight the positive impact that strategies aimed at improving colostrum quality, achieving optimal birth weights, and reducing dystocia will have on calf health.

Indexed as

Cattle DiseasesDiarrheaAnimalsAnimals, NewbornBirth WeightCattleColostrumFemaleMalePregnancyProportional Hazards ModelsProspective StudiesRisk FactorsSurvival AnalysisCalfCox regressionDiarrheaKaplan-MeierRisk

Identifiers

PMID42474569

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.