Evidence map›Paper›PMID 39989518›Full record

ArticleJournal of family medicine and primary care2025

Predictive value of platelet parameters for early-onset pre-eclampsia: A prospective cohort study in a teaching institution in Gujarat, India.

DipenKumar Thakkar, Jeel Shihora, Rohankumar Gandhi, Rahul Parmar, M Yogesh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

  1. Review
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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

5 authors.

DipenKumar ThakkarDepartment of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.
Jeel ShihoraDepartment of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.
Rohankumar GandhiDepartment of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.
Rahul ParmarMedical Student, Shri MP Shah Medical College, Jamnagar, Gujarat, India.
M YogeshDepartment of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early-onset pre-eclampsia is associated with severe maternal and perinatal complications. Identifying novel biomarkers for early prediction is crucial for timely intervention and improved outcomes. This study aimed to evaluate the predictive value of platelet parameters, namely mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC), for early-onset pre-eclampsia. Methods: A prospective cohort study was conducted at a tertiary care hospital in Gujarat, India. Pregnant women (n = 712) between 14 and 18 weeks of gestation were enrolled and followed up until delivery. MPV, PDW, and PC were measured at enrollment. The primary outcome was the development of early-onset pre-eclampsia (<34 weeks). Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of platelet parameters. Results: The prevalence of early-onset pre-eclampsia was 5.3%. Women who developed early-onset pre-eclampsia had significantly higher MPV and PDW and lower PC at 14-18 weeks compared to those who remained normotensive. The combination of MPV > 10.2 fL, PDW > 16.5 fL, and PC < 180 × 103/µL had the highest predictive value (AUC: 0.951, sensitivity: 71.1%, specificity: 99.1%). Individual platelet parameters also demonstrated good predictive ability. Conclusion: Platelet parameters, particularly MPV, PDW, and PC, measured at 14-18 weeks of gestation, have good predictive value for early-onset pre-eclampsia. Incorporating these parameters into routine antenatal screening could improve the early identification of at-risk women. Further research is needed to validate these findings and evaluate the cost-effectiveness of implementation.

Indexed as

Early-onset pre-eclampsiamean platelet volumeplatelet distribution widthplatelet parameterspredictive biomarkerspre-eclampsia

Identifiers

PMID39989518
PMCPMC11845012

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.