Evidence map›Paper›PMID 33200060›Full record

ReviewCureus2020

An Overview of the Pathophysiology of Metabolic Changes and Their Sequence of Occurrence in Obese Diabetic Females: A Narrative Review.

Azeezat A Oyewande, Beenish Iqbal, Lamis F Abdalla, Fazida Karim, Safeera Khan

Abstract readReview
In one paragraph

Review in Cureus, 2020. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Azeezat A OyewandeFamily Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Beenish IqbalPediatric Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Lamis F AbdallaInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Fazida KarimPsychology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Safeera KhanInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and diabetes both mediate their effects through insulin resistance and frequently co-exist. Insulin resistance is one of the key factors in the development of the metabolic syndrome. Adult females tend to develop obesity more frequently than males. One of the factors causing this difference is the pattern of changes that occur as females age from pre-menopausal to the post-menopausal stage, causing a change in the pattern of accumulation of fats. Several studies have explored and described the association between obesity and metabolic syndrome and their effect on type II diabetes. We conducted our literature search using PubMed and Google Scholar as our primary databases. We selected a total of 49 articles for review after applying the inclusion and exclusion criteria and removing the duplicate articles. We chose the full-text articles that were published in the English language only. The selected studies were randomized controlled trials and review papers. The reviewed articles showed that visceral fat, central obesity, and fasting blood sugar of post-menopausal is higher than in pre-menopausal women and needs adequate management. More studies are needed in the future to explore the patterns of the metabolic changes in obese females to provide early and better management of diabetes and prevent related complications.

Indexed as

adult femalesdiabetes mellitusfemale diabeticsmetabolic changes and diabetesmetabolic syndromeobesity and diabetes

Identifiers

PMID33200060
PMCPMC7661006

What OpenQuestion holds

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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.