Evidence map›Paper›PMID 39934746›Full record

ArticleBMC pregnancy and childbirth2025

The association of inflammatory markers in early pregnancy with the development of gestational diabetes: Qazvin maternal and neonatal metabolic study (QMNS).

Sima Hashemipour, Seyedeh Sareh Kalantarian, Hamidreza Panahi, Sara Esmaeili Kelishomi, Amirabbas Ghasemi, Sarah Mirzaeei Chopani, Sepideh Kolaji, Milad Badri, Arefeh Ghobadi, Seyyed Mohammad Reza Hadizadeh Khairkhahan and 4 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

14 authors.

Sima HashemipourNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Seyedeh Sareh KalantarianNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Hamidreza PanahiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Sara Esmaeili KelishomiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Amirabbas GhasemiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Sarah Mirzaeei ChopaniNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Sepideh KolajiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Milad BadriMedical Microbiology Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Arefeh GhobadiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Seyyed Mohammad Reza Hadizadeh KhairkhahanNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Fatemeh LaloohaNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Farideh MovahedNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Mahnaz AbbasiNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Khadijeh ElmizadehNon-Communicable Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. khadijehelmizadeh@gmail.com.ORCID http://orcid.org/0000-0001-9768-5779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates the association of blood cell components and blood cell-derived inflammatory indices in early pregnancy with the development of gestational diabetes mellitus (GDM).

methodsThis research is part of the Qazvin maternal and neonatal metabolic study (QMNMS) conducted in Iran from 2018 to 2021. Pregnant women with gestational age ≤ 14 weeks were enrolled in the study. The association of blood cells and inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), systemic immune inflammation index (SII), and aggregate systemic inflammatory response index (AISI), in early pregnancy with subsequent GDM development was examined using multivariate logistic regression. This analysis was adjusted for age, pre-pregnancy body mass index (BMI), weight gain, and GDM history in previous pregnancies (Model 1), as well as for these factors in addition to the homeostatic model assessment for insulin resistance (HOMA-IR) (Model 2). The correlation of blood cells and inflammatory indices with insulin resistance was assessed through Spearman partial correlation, adjusted for the same risk factors.

resultsThe final analysis included 612 participants, among whom GDM developed in 96 participants (15.7%). Neutrophil, platelet, and lymphocyte counts showed significant correlations with HOMA-IR (r = 0.14, r = 0.22, and r = 0.17, respectively; P < 0.01 for all). In univariate analysis, the highest quartile of neutrophil count was associated with a 5.9 times higher risk of GDM development (95% CI 2.6-13.2, P < 0.001). In multivariate logistic regression, neutrophil count quartiles remained significant predictors of GDM development, with relative risks of 3.7, 4.4, and 8.2 for the 2nd, 3rd, and 4th neutrophil quartiles compared to the 1st quartile (P < 0.001). While platelet count was initially associated with GDM development (RR = 2.6, 95% CI 1.3-5.1, P = 0.028), this association was no longer significant after adjusting for HOMA-IR. Neither lymphocyte nor monocyte counts were linked to GDM development. Additionally, inflammatory indices, such as NLR, SIRI, SII, and AISI, did not provide additional predictive value for GDM development.

conclusionNeutrophil count is an independent predictor of GDM development, and its role in GDM development is not influenced by early pregnancy insulin resistance. Moreover, novel inflammatory indices offer no additional predictive benefit for GDM.

Indexed as

Diabetes, GestationalInflammationAdultBiomarkersFemaleHumansInsulin ResistanceIranLymphocytesNeutrophilsPregnancyRisk FactorsBiomarkersAggregate systemic inflammatory response indexGestational diabetes mellitusHOMA-IRLymphocyte countNeutrophil countNeutrophil-to-lymphocyte ratioPlatelet countSystemic immune inflammation indexSystemic inflammatory response index

Identifiers

PMID39934746
PMCPMC11816776

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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.