Evidence map›Paper›PMID 42357745›Full record

ReviewVeterinary sciences2026

Intrapartum Risk Factors for Calf Morbidity and Mortality in Dairy Cattle: A Systematic Review (2000-2025).

Lukas Trzebiatowski, Markus Freick, Karsten Donat, Axel Wehrend

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

4 authors.

Lukas TrzebiatowskiVeterinary Clinic for Reproductive Medicine and Neonatology, Justus-Liebig University Giessen, 35392 Giessen, Germany.ORCID 0009-0004-4666-9209
Markus FreickInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.ORCID 0000-0003-2695-8316
Karsten DonatVeterinary Clinic for Reproductive Medicine and Neonatology, Justus-Liebig University Giessen, 35392 Giessen, Germany.ORCID 0000-0001-5376-0116
Axel WehrendVeterinary Clinic for Reproductive Medicine and Neonatology, Justus-Liebig University Giessen, 35392 Giessen, Germany.

Funding

Bundesministerium für Landwirtschaft, Ernährung und Heimat 28N421MB01
6 · The paper itself

Abstract

The aim of this study was to perform a systematic review of studies published in the last 25 years to determine the influence of calving management (type of calving pen, bedding, frequency of cleaning), birth monitoring, birth induction, and dystocia on calf morbidity and mortality. The following databases were used for research: PubMed, CAB Abstracts, and Web of Science. In total, four studies were included for birth induction, sixteen for calving management, eight for birth monitoring, and twenty for dystocia. All factors included had an influence on perinatal mortality. Calving management and dystocia influenced mortality up to weaning. Severe cases of dystocia raised the risk of mortality from 11.2 to 53.17 and even cases of moderate dystocia led to an increased risk of mortality from 2.04 to 11.6. Passive transfer of immunity was improved by more frequent birth monitoring. Dystocia increased the risk of failure of passive transfer. Good calving management and performing of birth monitoring reduced the risk of morbidity. Dystocia led to a higher risk of morbidity. Dystocia had the greatest influence on the parameters examined. This systematic review provides evidence that intrapartum factors have an influence on calf morbidity and mortality and shows possibilities to improve calf health outcomes.

Indexed as

birth inductionbirth monitoringcalf welfarecalving managementdystociaparturition

Identifiers

PMID42357745
PMCPMC13308302

What OpenQuestion holds

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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.