Evidence map›Paper›PMID 36078079›Full record

ReviewCells2022

Deep Insight of the Pathophysiology of Gestational Diabetes Mellitus.

Amarish Kumar Sharma, Sanjeev Singh, Himanshu Singh, Deviyani Mahajan, Prachetha Kolli, Gowtham Mandadapu, Bimlesh Kumar, Dharmendra Kumar, Sudarshan Kumar, Manoj Kumar Jena

Registry-linked trialAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06761053 (Can the Albumin/High Sensitive C-reactive Protein Ratio be Utilized for Predicting Gestational Diabetes Mellitus Diagnosis or the Adverse Outcomes), which is not on this map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
–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.

NCT06761053 nacompletednot on this map

Can the Albumin/High Sensitive C-reactive Protein Ratio be Utilized for Predicting Gestational Diabetes Mellitus Diagnosis or the Adverse Outcomes

TypeinterventionalSponsorALI BAHADIRLIRan2021 to 2022Enrolled146ConditionsGestational Diabetes Mellitus in PregnancyArmsIntervention/Exposure for the GDM Group (Experimental Arm), Intervention/Exposure for the Control Group
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Heart Rate Variability in Newborns From Diabetic Mothers: Clinical Application and Significance.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    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

10 authors.

Amarish Kumar SharmaDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.ORCID 0000-0002-8887-9296
Sanjeev SinghDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
Himanshu SinghDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
Deviyani MahajanDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
Prachetha KolliMicrogen Health Inc., 14225 Sullyfield Cir Suite E, Chantilly, VA 20151, USA.
Gowtham MandadapuDevansh Lab Werks, 234 Aquarius Drive, Homewood, AL 35209, USA.
Bimlesh KumarSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India.ORCID 0000-0001-8072-5172
Dharmendra KumarAnimal Physiology and Reproduction Division, ICAR-Central Institute for Research on Buffaloes, Hisar 125001, Haryana, India.ORCID 0000-0002-0521-8960
Sudarshan KumarAnimal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India.
Manoj Kumar JenaDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.ORCID 0000-0003-3847-8539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a severe metabolic disorder, which consistently requires medical care and self-management to restrict complications, such as obesity, kidney damage and cardiovascular diseases. The subtype gestational diabetes mellitus (GDM) occurs during pregnancy, which severely affects both the mother and the growing foetus. Obesity, uncontrolled weight gain and advanced gestational age are the prominent risk factors for GDM, which lead to high rate of perinatal mortality and morbidity. In-depth understanding of the molecular mechanism involved in GDM will help researchers to design drugs for the optimal management of the condition without affecting the mother and foetus. This review article is focused on the molecular mechanism involved in the pathophysiology of GDM and the probable biomarkers, which can be helpful for the early diagnosis of the condition. The early diagnosis of the metabolic disorder, most preferably in first trimester of pregnancy, will lead to its effective long-term management, reducing foetal developmental complications and mortality along with safety measures for the mother.

Indexed as

Diabetes, GestationalFemaleHumansObesityPregnancyPregnancy Trimester, FirstRisk FactorsWeight Gainbiomarkergestational diabetes mellituspathophysiologypregnancyVEGF

Identifiers

PMID36078079
PMCPMC9455072

What OpenQuestion holds

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Registered trials

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.