Evidence map›Paper›PMID 35607538›Full record

ArticleCureus2022

Maternal Serum High-Sensitivity C-Reactive Protein (hsCRP) as a Prognostic Marker of Fetomaternal Outcome in Hypertensive Disorders of Pregnancy: A Novel Study.

Ketav Joshi, Neema Acharya, Sourya Acharya, Samir Joshi

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
1.3field-weighted citation impact, top 21% of its field
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, 7 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Ketav JoshiDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Neema AcharyaDepartment of Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Sourya AcharyaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Samir JoshiDepartment of Obstetrics and Gynaecology, Dr. Vinod Joshi Maternity Nursing Home, Mumbai, IND.
Joshi Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertensive disorders of pregnancy (HDP) are a group of obstetric disorders causing profound fetomaternal compromise, leading to adverse obstetric outcomes. High-sensitivity c-reactive protein (hsCRP), an inflammatory marker of systemic inflammation, is elevated in HDP and correlates with the severity of the disease. However, prediction and prevention of HDP and its associated fetomaternal complications remain elusive to most obstetricians. The present study aimed to evaluate the use of hsCRP as a prognostic marker of adverse fetomaternal outcome in HDP.

methodsThe study included 132 third-trimester pregnancies with HDP who underwent hsCRP quantification at the time of presentation to the out-patient department and followed up till delivery. HsCRP quantification was done using immunoturbidimetry method.

resultsOf the 132 cases studied, 72 had normal hsCRP levels while the remaining 60 had raised hsCRP levels. It was observed that patients with raised hsCRP levels had poorer fetomaternal outcomes at delivery as compared to those with normal hsCRP levels.  Conclusion: The obstetric outcomes of patients with HDP worsened with increasing levels of hsCRP, as shown in our study, when compared to normotensive patients. Thus, hsCRP delivers promising results as a prognostic marker of adverse fetomaternal outcomes in patients of HDP.

Indexed as

foetal outcomehigh-risk pregnancyhscrphypertensive states of pregnancymaternal outcome

Identifiers

PMID35607538
PMCPMC9123406
OpenAlexW4224264726

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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.