Evidence map›Paper›PMID 34703260›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Analysis of Endocrine and Metabolic Indexes in Non-Obese Patients with Polycystic Ovary Syndrome and Its Compare with Obese Patients.

Wenjing Shi, Qi Zhao, Xue Zhao, Chuan Xing, Bing He

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. 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
2.3field-weighted citation impact, top 12% 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, 17 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Wenjing ShiDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Qi ZhaoDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Xue ZhaoDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Chuan XingDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
Bing HeDepartment of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the endocrine and metabolic indexes of obese and normal body mass index (BMI) polycystic ovary syndrome (PCOS) patients, and explore factors affecting the pathogenesis and progression of PCOS.

methodsThis study included obese (n=79) and normal BMI (n=40) PCOS patients, and obese (n=30) and normal BMI (n=30) non-PCOS controls. Blood glucose, insulin (INS), blood lipids, sex hormones, and other metabolic and endocrine indicators were measured, and the correlations between the indicators were analyzed.

resultsHOMA-IR, 0min INS, 60min INS, 120min INS, 180min INS, FAI, TG, TC, LDL-C and sd-LDL in obese PCOS group were higher, while SHBG, LH, LH/FSH and HDL-C were lower than those in normal weight PCOS group (

conclusionEndocrine metabolic disorders in women with PCOS were more obvious than that in women with non-PCOS with matched BMI. The abnormality of glucose and lipid metabolism in obese PCOS patients is more serious than that in PCOS patients with normal BMI. Both obese and normal BMI PCOS patients were affected by hyperinsulinemia, and IR may play a key role in the pathogenesis and development of PCOS.

Indexed as

endocrine metabolismhyperandrogenemiainsulin resistanceobesitypolycystic ovary syndrome

Identifiers

PMID34703260
PMCPMC8526511
OpenAlexW3207971140

What OpenQuestion holds

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LicenceCC BY-NC
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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.