Evidence map›Paper›PMID 27902723›Full record

Observational studyPloS one2016

Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study.

Hui Li, Lin Li, Jian Gu, Yu Li, Xiaoli Chen, Dongzi Yang

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hui LiDepartment of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
Lin LiDepartment of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
Jian GuDepartment of Gynecology, Third Affiliated Hospital of Sun Yat-Sen University, GuangZhou, China.
Yu LiDepartment of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
Xiaoli ChenDepartment of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
Dongzi YangDepartment of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This hospital-based observational study aims to estimate differences in metabolic abnormalities between different polycystic ovary syndrome (PCOS) phenotypes and their distribution characteristics. The prevalence of metabolic abnormalities among different PCOS phenotypes, including diabetes mellitus (DM), metabolic syndrome (MS), pre-diabetes mellitus (pre-DM), insulin resistance (IR) and dyslipidemia were compared. A total of 2436 women who were ≥18 years old and who were hospitalized in Sun Yat-Sen University affiliated hospital from 1998 to 2015 in GuangZhou, China, were included in this study. PCOS phenotypes were recorded according to the 2003 Rotterdam criteria, including the polycystic ovary morphology (PCO), hyperandrogenism (HA) and ovulation dysfunction (OD) phenotype (PCO+HA+OD); the ovulation phenotype (PCO+HA); the non-PCO phenotype (HA+OD); and the non-HA phenotype (PCO+OD). Notably, 56% of the patients had the classic phenotype (PCO+HA+OD). Importantly, there was no significant difference in the prevalence of metabolic abnormalities or the distribution characteristics of the metabolic abnormalities among these four PCOS phenotypes. Our study supports the notion that metabolic abnormalities and the distribution characteristics of metabolic abnormalities should not be used to distinguish among the various clinical PCOS phenotypes.

Indexed as

HospitalsMass ScreeningAdultFemaleHumansMetabolic DiseasesPhenotypePolycystic Ovary SyndromePrognosis

Identifiers

PMID27902723
PMCPMC5130242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.