Evidence map›Paper›PMID 31041103›Full record

ArticleSAGE open medical case reports2019

Implications of inflammation and insulin resistance in obese pregnant women with gestational diabetes: A case study.

Ebtisam Aziz Al-Ofi

Open access · goldAbstract readCase Reports
In one paragraph

Article in SAGE open medical case reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Ebtisam Aziz Al-OfiDepartment of Physiology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0001-8494-4380
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is one of the leading pregnancy risks for both the mother and the neonate. The prevalence of gestational diabetes mellitus has been increasing, especially with the increase in obesity in reproductive-aged women. A high body mass index, a sedentary lifestyle, a previous macrosomic infant, polycystic ovary syndrome and hypothyroidism are the main risk factors for gestational diabetes mellitus. Early gestational diabetes mellitus detection in high-risk individuals is a useful method for preventing further complications and/or preventing this disease by improving the patient's lifestyle. CASE PRESENTATION: A morbidly obese woman with a high body mass index (>36) at 24 weeks gestational age presented with several gestational diabetes mellitus risk factors. Her glucose tolerance test verified gestational diabetes mellitus, and, incidentally, her C-reactive protein level was elevated without obvious reason. Her plasma levels of inflammatory cytokines had also been assessed and were exaggerated. After lifestyle intervention, including weight management, the patient's inflammatory mediators, including her C-reactive protein level, dropped. Therefore, this study aimed to identify the relationship between the patient's inflammation and obesity.

conclusionAntenatal C-reactive protein screening could be used throughout pregnancy to predict inflammation from high-risk pregnant women. This case scenario describes the interrelationships between inflammation, insulin resistance and adipokines, as well as the contributions of hypothyroidism and polycystic ovary syndrome. Further research should emphasise the relationships between inflammation and obesity in pregnancy.

Indexed as

adipocytesC-reactive proteincytokinesInflammationinsulin resistanceobesitypregnancythyroid stimulating hormone

Identifiers

PMID31041103
PMCPMC6477763
OpenAlexW2942158890

What OpenQuestion holds

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LicenceCC BY-NC
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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.