Evidence map›Paper›PMID 37282396›Full record

ArticleThe Indian journal of medical research2023

Prediction of pre-eclampsia in diabetic pregnant women.

Ashok Kumar, Perumal Vanamail, Ram Kumar Gupta, Syed Akhtar Husain

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2023. 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
1.5field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Overlap of Gestational Diabetes Mellitus and Pre-eclampsia: A Scoping Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
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 2 institutions in 1 country.

Ashok KumarDepartment of 1Obstetrics & Gynaecology, Maulana Azad Medical College & Lok Nayak Hospital, New Delhi, India.
Perumal VanamailAll India Institute of Medical Sciences, New Delhi, India.
Ram Kumar GuptaDepartment of 1Obstetrics & Gynaecology, Maulana Azad Medical College & Lok Nayak Hospital, New Delhi, India.
Syed Akhtar HusainDepartment of Bio Sciences, Jamia Millia Islamia, New Delhi, India.
Jamia Millia Islamia · INMaulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Gestational or preexisting diabetes is one of the risk factors of pre-eclampsia. Both are responsible for higher maternal and fetal complications. The objective was to study clinical risk factors of pre-eclampsia and biochemical markers in early pregnancy of women with diabetes mellitus (DM)/gestational diabetes mellitus (GDM) for the development of pre-eclampsia. Methods: The study group comprised pregnant women diagnosed with GDM before the 20 wk of gestation and DM before pregnancy and the control group had age-, parity- and period of gestation-matched healthy women. Sex hormone-binding globulin (SHBG), insulin-like growth factor-I (IGF-I) and 25-hydroxy vitamin D [25(OH)D] levels and the polymorphism of these genes was evaluated at recruitment. Results: Out of 2050 pregnant women, 316 (15.41%) women (296 had GDM and 20 DM before pregnancy) were included in the study group. Of these, 96 women (30.38%) in the study group and 44 (13.92%) controls developed pre-eclampsia. Multivariate logistic regression analysis indicated those who belonged to the upper middle and upper class of socio-economic status (SES) were likely to be at 4.50 and 6.10 times higher risk of developing pre-eclampsia. The risk of getting pre-eclampsia among those who had DM before pregnancy and pre-eclampsia in their previous pregnancy was about 2.34 and 4.56 times higher compared to those who had no such events, respectively. The serum biomarkers [SHBG, IGF-I and 25(OH)D] were not found to be useful in predicting pre-eclampsia in women with GDM. To predict risk of development of pre-eclampsia, the fitted risk model by backward elimination procedure was used to calculate a risk score for each patient. Receiver operating characteristic (ROC) curve for pre-eclampsia showed that area under the curve was 0.68 (95% confidence interval: 0.63-0.73); P<0.001. Interpretation & conclusions: The findings of this study suggested that pregnant women with diabetes were at a higher risk for pre-eclampsia. SES, history of pre-eclampsia in previous pregnancy and pre-GDM were found to be the risk factors.

Indexed as

Diabetes, GestationalPre-EclampsiaBiomarkersFemaleHumansInsulin-Like Growth Factor IMaleParityPregnancyPregnant PeopleBiomarkersInsulin-Like Growth Factor IDiabetes mellitusgestational diabetes mellituspre-eclampsiapregnancy

Identifiers

PMID37282396
PMCPMC10438414
OpenAlexW4379599975

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.