Evidence map›Paper›PMID 38649666›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2024

Characteristics of Different Obesity Metabolic Indexes and their Correlation with Insulin Resistance in Patients with Polycystic Ovary Syndrome.

Yaru Feng, Mengying Li, Xue Li, Qingtao Tang, Xiaoyan Li, Xia Ji, Wenyan Tian, Huiying Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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

8 authors at 1 institution in 1 country.

Yaru FengDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Mengying LiDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Xue LiDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Qingtao TangDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Xiaoyan LiDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Xia JiDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Wenyan TianDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China.
Huiying ZhangDepartment of Obstetrics and Gynecology, Tianjin Medical University General Hospital, NO 154, Anshan Road, Tianjin, He Ping District, 300052, People's Republic of China. huiying_zhang2020@126.com.ORCID 0000-0001-5013-7142
Tianjin Medical University General Hospital · CN

Funding

the National Natural Science Foundation of China 82171629
6 · The paper itself

Abstract

This study is aimed to investigate the characteristics of different obesity metabolic indexes [body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), cardiometabolic index (CMI), body roundness index (BRI), visceral adiposity index (VAI), and lipid aggregation products (LAP)] and their correlation with insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS). The study was conducted on 140 subjects with PCOS and 133 control subjects aged 18-44 years. According to insulin resistance index (HOMA-IR) ≥ 2.69 and HOMA-IR < 2.69, PCOS group members were divided into insulin resistance group and non-insulin resistance group. Anthropometric and serological characteristics of the population with PCOS focused on calculating different obesity metabolic indexes and HOMA-IR. BMI, WC, WHR, WHtR, CMI, BRI, VAI, and LAP were significantly higher in PCOS patients than in the control group, and the differences were all statistically significant (P < 0.05); In the insulin resistance group of PCOS patients, BMI, WC, WHR, WHtR, CMI, BRI, VAI, and LAP were significantly higher than in the non-insulin resistance group (P < 0.05). In PCOS patients, BMI (r = 0.658, P < 0.001), WC (r = 0.0.662, P < 0.001), WHR (r = 0.377, P < 0.001), WHtR (r = 0.660, P < 0.001), CMI (r = 0.698, P < 0.001), BRI (r = 0.757, P < 0.001), VAI (r = 0.640, P < 0.001), and LAP (r = 0.767, P < 0.001) were positively correlated with IR. Obesity metabolic indexes associated with PCOS were elevated in the PCOS group compared to the control group, and in the PCOS insulin-resistant group compared to the non-insulin resistant group. Novel obesity metabolic indexes, especially CMI, BRI and LAP, might be more appropriate for evaluating the risk of concurrent IR in PCOS.

Indexed as

Body Mass IndexInsulin ResistanceObesityPolycystic Ovary SyndromeWaist-Hip RatioAdiposityAdolescentAdultFemaleHumansWaist CircumferenceYoung AdultInsulin resistanceMetabolic obesity indexPolycystic ovary syndrome

Identifiers

PMID38649666
OpenAlexW4394996604

What OpenQuestion holds

Textmetadata
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.