Evidence map›Paper›PMID 35494205›Full record

ArticleJournal of human reproductive sciences

Correlation of Serum Homocysteine Levels and Hyperinsulinaemia with Body Mass Index in Polycystic Ovarian Syndrome.

Rashmi Bhushan, Parul Sinha

Open access · diamondAbstract read
In one paragraph

Article in Journal of human reproductive sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

2 authors at 2 institutions in 1 country.

Rashmi BhushanDepartment of Obstetrics & Gynaecology, Era's Lucknow Medical College, Lucknow, Uttar Pradesh, India.
Parul SinhaDepartment of Obstetrics & Gynaecology, Era's Lucknow Medical College, Lucknow, Uttar Pradesh, India.
All India Institute of Medical Sciences · INEra's Lucknow Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting women in reproductive age group. The interrelationship of serum homocysteine, homoeostatic assessment of insulin resistance (HOMA-IR) and body mass index amongst overweight, obese and non-obese PCOS patients is not fully established. Aims: We aimed to study the correlation of serum homocysteine levels and hyperinsulinaemia with body mass index (BMI) in PCOS patients. Study Setting and Design: This was a case-control study in which 35 women with PCOS and 35 non-PCOS women acting as controls were enrolled. Materials and Methods: Cases were identified by Rotterdam's criteria. (IR) indices, HOMA determination and serum homocysteine levels were determined and their correlation with BMI was studied. Statistical Analysis Used: Student's Results: On overall evaluation, a significant positive correlation of fasting insulin, HOMA-IR and serum homocysteine) was observed ( Conclusion: PCOS women had significantly higher mean fasting glucose, fasting insulin, HOMA-IR and homocysteine levels as compared to non-PCOS controls. Mean HOMA-IR, homocysteine and fasting insulin levels showed a significant incremental trend with increasing BMI category in overall evaluation as well as in cases and controls independently.

Indexed as

Body mass indexhomocysteineinsulin resistancepolycystic ovary syndrome

Identifiers

PMID35494205
PMCPMC9053351
OpenAlexW4225325397

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.