Evidence map›Paper›PMID 30275828›Full record

ArticleInternational journal of endocrinology2018

Waist Circumference Coupled with Either HDL-C or TG Can Be Used as a Diagnostic Marker for Metabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome.

Yan Sun, Wenxiang Wang, Qi Shen, Shengrong Du, Yiwei Guo, Fei He, Wenchang Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Yan SunReproductive Medicine Center, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.ORCID 0000-0003-4904-7929
Wenxiang WangFujian Province Key Laboratory of Environment and Health, Fujian Medical University, Fuzhou, Fujian, China.ORCID 0000-0002-4679-3216
Qi ShenFujian Province Key Laboratory of Environment and Health, Fujian Medical University, Fuzhou, Fujian, China.ORCID 0000-0002-5881-466X
Shengrong DuReproductive Medicine Center, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Yiwei GuoFujian Province Key Laboratory of Environment and Health, Fujian Medical University, Fuzhou, Fujian, China.ORCID 0000-0003-1897-106X
Fei HeFujian Province Key Laboratory of Environment and Health, Fujian Medical University, Fuzhou, Fujian, China.
Wenchang ZhangFujian Province Key Laboratory of Environment and Health, Fujian Medical University, Fuzhou, Fujian, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although quite a few polycystic ovary syndrome (PCOS) patients suffering from metabolic syndrome (MS) have been reported in previous studies, no reliable and early diagnostic biomarkers for MS in PCOS patients have yet been identified. To identify early and reliable diagnostic biomarkers for MS in Chinese women with PCOS, a total of 401 patients (200 PCOS patients and 201 controls) were enrolled in our present study. All of the subjects were examined for anthropometric (weight, waist circumference, blood pressure, etc.) and biochemical (fasting glucose, serum lipid indices, total testosterone, etc.) parameters. Our results showed that the prevalence of MS in the PCOS patients (20.50%) was 6.8-fold higher (

Identifiers

PMID30275828
PMCPMC6151373
OpenAlexW2891442554

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.