Evidence map›Paper›PMID 42571591›Full record

ArticleVeterinary research forum : an international quarterly journal2026

Chronological profiling of early pregnancy transcripts in Murrah buffaloes.

Aman Srivastav, Vijay Singh, Riyaj Ahmed Siddique, Atul Kumar Verma, Akhil Patel, Suresh Kumar, Mahesh Kumar Bharti, Aman Kumar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary research forum : an international quarterly journal, 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.

Aman SrivastavDepartment of Veterinary Gynecology and Obstetrics, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology , Meerut, India.
Vijay SinghDepartment of Veterinary Gynecology and Obstetrics, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology , Meerut, India.
Riyaj Ahmed SiddiqueDepartment of Veterinary Physiology and Biochemistry, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, India.
Atul Kumar VermaDepartment of Veterinary Gynecology and Obstetrics, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology , Meerut, India.
Akhil PatelDepartment of Veterinary Gynecology and Obstetrics, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology , Meerut, India.
Suresh KumarCattle Physiology and Reproduction (CPR) Division, Central Institute of Research on Cattle, Meerut, India.
Mahesh Kumar BhartiDepartment of Veterinary Physiology and Biochemistry, College of Veterinary and Animal Sciences, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, India.
Aman KumarAnimal Biotechnology Centre, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective reproductive management in cattle, such as cows and buffaloes, requires early and accurate pregnancy detection. Early identification of pregnancy enables farmers to promptly identify non-pregnant animals for treatment and/or rebreeding, thereby reducing the calving interval. This study aimed to standardize the expression of the

Indexed as

ChemokinesEarly pregnancy markerGene expressionMurrah buffaloesqRT-PCR

Identifiers

PMID42571591
PMCPMC13452451

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.