Evidence map›Paper›PMID 42652019›Full record

ArticleAnimals : an open access journal from MDPI2026

Unravelling the Drivers of Early-Life Mortality in Yak Calves: A Retrospective Cohort Study Using Survival Analysis.

Asish Debbarma, Mokhtar Hussain, Martina Pukhrambam, Shubham Loat, Vijay Paul, Dinamani Medhi, Sayed Nabil Abedin, Mihir Sarkar

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

8 authors.

Asish DebbarmaICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.ORCID 0000-0002-5306-3182
Mokhtar HussainICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.ORCID 0009-0007-1168-6326
Martina PukhrambamICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.
Shubham LoatICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.
Vijay PaulICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.
Dinamani MedhiICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.
Sayed Nabil AbedinICAR-Indian Veterinary Research Institute, Mukhteswar Campus, Nainital 263138, Uttarakhand, India.
Mihir SarkarICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early-life calf mortality is a significant barrier to herd growth and overall productivity in yak husbandry. This retrospective study investigated the survival pattern and potential risk factors linked to yak calf mortality during the first 90 days of life. Analysis was performed on existing farm records from 428 yak calves born between 2013 and 2025 at a semi-intensive yak farm. The Kaplan-Meier method was used to estimate survival probability, and the log-rank test was used to compare survival probabilities; additionally, a multivariate Cox proportional hazards model was employed to identify independent risk factors. Overall, 70 (16.4%) calves died within the first 90 days after birth. The Kaplan-Meier analysis indicated significantly lower survival probability among low-birth-weight calves (≤12 kg;

Indexed as

Cox proportional hazardsKaplan–Meier estimatormortalityretrospective studyrisk factorssurvival analysisyak calf

Identifiers

PMID42652019
PMCPMC13509976

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.