Evidence map›Paper›PMID 40819892›Full record

ReviewThe Journal of reproduction and development2025

Early pregnancy detection in ruminants: challenges and innovations.

Jakia Sultana, Sanjita Rani Paul, Md Sayaduzzaman Arafath, Md Hasanur Alam, Md Sharoare Hossain, Mohammad Moniruzzaman

Abstract readReview
In one paragraph

Review in The Journal of reproduction and development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Jakia SultanaDepartment of Animal Science, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.
Sanjita Rani PaulDepartment of Animal Science, Habiganj Agricultural University, Habiganj-3300, Bangladesh.
Md Sayaduzzaman ArafathDepartment of Animal Science, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.
Md Hasanur AlamDepartment of Animal Science, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.
Md Sharoare HossainDepartment of Animal Science, Patuakhali Science and Technology University, Patuakhali, Bangladesh.
Mohammad MoniruzzamanDepartment of Animal Science, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise and early pregnancy detection is crucial for better breeding management and enhancing the overall production of ruminant livestock. Throughout the years, numerous methods have evolved for pregnancy detection in ruminants, each possessing specific advantages and limitations. This review thoroughly discusses both traditional and emergent diagnostic methods, emphasizing their principles, implementation, merits and challenges. Behavioral observation, rectal palpation and ultrasonography are the traditional approaches widely used because of their accessibility and direct detection of pregnancy conditions. Progesterone measurement, pregnancy-associated glycoprotein detection, and estrone sulfate examination are the hormonal assays that provide biochemical proof at specific phases of gestation. Recently, the analysis of interferon-stimulated gene expression and circulating microRNAs has shown promising roles in early pregnancy detection at the genetic and transcriptomic levels. The investigation of volatile organic compounds is a novel approach in pregnancy diagnosis, though it is non-invasive, and further confirmation is required for regular application. This review highlighted the importance of incorporating multiple examination strategies to enhance the accuracy and reliability of pregnancy detection in ruminants. Future research should center on the refinement and field application of advanced technologies to ensure their proper implementation in diverse ruminant production systems.

Indexed as

Pregnancy, AnimalPregnancy TestsRuminantsAnimalsFemalePregnancyPregnancy detectionRuminantUpdate

Identifiers

PMID40819892
PMCPMC12511779

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.