Evidence map›Paper›PMID 40182158›Full record

ArticleJournal of rural medicine : JRM2025

Role of serum high-sensitive C-reactive protein to predict severity of pre-eclampsia in a high-population resource-poor country: a prospective observational study.

Jhuma Biswas, Mousumi Datta, Kaushik Kar, Divyangana Mitra, Lakavath Jyothi, Arghya Maitra

Abstract read
In one paragraph

Article in Journal of rural medicine : JRM, 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
–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

2 citing papers in PubMed.

  1. Review
  2. Observational
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.

Jhuma BiswasDepartment of Obstetrics and Gynaecology, Jhargram Government Medical College and Hospital, India.
Mousumi DattaDepartment of Community Medicine, R. G. Kar Medical College and Hospital, India.
Kaushik KarDepartment of Biochemistry, Rampurhat Medical College and Hospital, India.
Divyangana MitraDepartment of Obstetrics and Gynaecology, Institute of Post-Graduate Medical Education and Research (IPGMER), India.
Lakavath JyothiDepartment of Obstetrics and Gynaecology, Sarat Chandra Chattopadhyay Government Medical College and Hospital, India.
Arghya MaitraDepartment of Obstetrics and Gynaecology, Calcutta National Medical College and Hospital, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the role of high-sensitive C-reactive protein (hsCRP) in predicting the severity of preeclampsia in a high-population, resource-poor country. Patients and Methods: This prospective cohort study was conducted at the Department of Obstetrics and Gynaecology of Calcutta National Medical College, India, from March 2021 to September 2022. A total of 180 participants were divided into three equal groups: patients with severe preeclampsia and non-severe preeclampsia and healthy pregnant women. Results: The levels of the biomarkers hsCRP and uric acid differed significantly between women with preeclampsia and healthy women, with cutoff levels of 3.72 mg/L and 5.15mg/dL, respectively, as determined using receiver operating characteristic (ROC) curve analysis. HsCRP was also able to differentiate severe preeclampsia from non-severe preeclampsia at a cutoff level ≥8.75 mg/L (high Youden index >0.6). However, uric acid levels failed to discriminate between pregnant women with severe and non-severe preeclampsia. Elevated hsCRP levels were strongly associated with low birth weight of newborns in pregnant women with preeclampsia and healthy control groups ( Conclusions: HsCRP can be used as an important diagnostic tool to exclude and evaluate the severity of preeclampsia.

Indexed as

biomarkersbirth weighthigh-sensitive C-reactive proteinpreeclampsiapregnancy

Identifiers

PMID40182158
PMCPMC11962192

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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.