Evidence map›Paper›PMID 35360056›Full record

SynthesisFrontiers in endocrinology2022

Metabolic Surgery on Patients With Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis.

Wenwen Yue, Xin Huang, Wenjing Zhang, Shumin Li, Xu Liu, Yian Zhao, Jiaxin Shu, Teng Liu, Weihua Li, Shaozhuang Liu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Towards precision medicine in bariatric surgery prescription.Reviews in endocrine & metabolic disorders · 2023
    Review
  9. Review
  10. 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

10 authors at 2 institutions in 1 country.

Wenwen YueSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xin HuangDivision of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, China.
Wenjing ZhangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
Shumin LiCenter for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xu LiuSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yian ZhaoCheeloo College of Medicine, Shandong University, Jinan, China.
Jiaxin ShuCheeloo College of Medicine, Shandong University, Jinan, China.
Teng LiuDivision of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, China.
Weihua LiOperating Theater, Qilu Hospital of Shandong University, Jinan, China.
Shaozhuang LiuDivision of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, China.
Shandong University · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complicated reproductive endocrine disease that is closely related to obesity. Metabolic surgery ameliorates a series of clinical manifestations and related comorbidities of PCOS. However, the overall efficacy of metabolic surgery on PCOS remains uncertain. This systematic review and meta-analysis aimed to evaluate the therapeutic effects of metabolic surgery on obese patients with PCOS. A systematic literature search for relevant studies was conducted on PubMed, Embase, Web of Science, and the Cochrane Library from inception to June 2021. Data extraction and quality evaluation were performed by three researchers, and RevMan 5.4 software was used to conduct the meta-analysis. A total of 14 studies involving 501 obese patients with PCOS were included. Incidence of PCOS in obese women ranged from 5.5% to 63.5% among the included studies. The results showed the incidence of abnormal menstruation decreased from 81% to 15% (OR=0.03, 95% confidence interval (CI): 0.01-0.08), while the incidence of hirsutism dropped from 71% to 38% (OR=0.21, 95% CI: 0.06-0.74). Serum total testosterone and free testosterone levels decreased by 25.92 ng/dL (MD = -25.92, 95% CI: -28.90- -22.93) and 2.28 ng/dL (SMD = -2.28, 95% CI: -3.67- -0.89), respectively. Sex hormone-binding globulin (SHBG) levels increased by 26.46 nmol/L (MD = 26.46, 95% CI: 12.97-39.95). Serum anti-Mullerian hormone (AMH) levels decreased by 1.29 ng/mL (MD = -1.29, 95% CI: -1.92- -0.66). Small sample size studies revealed that pregnancy rates ranged from 95.2% to 100% postoperatively. Metabolic surgery contributed to marked improvement of abnormal menstruation, hirsutism, and levels of free testosterone, total testosterone, SHBG, and AMH in patients with PCOS. Our findings indicate that patients with PCOS are expected to benefit from metabolic surgery, and could help potentially improve their reproductive outcomes. Metabolic surgery could thus be a new viable option for the clinical treatment of PCOS. Systematic Review Registration: PROSPERO https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42021251524.

Indexed as

Bariatric SurgeryPolycystic Ovary SyndromeAnti-Mullerian HormoneFemaleHirsutismHumansObesityAnti-Mullerian Hormonebariatric surgerymeta-analysismetabolic surgeryobesitypolycystic ovary syndromesystematic review

Identifiers

PMID35360056
PMCPMC8961297
OpenAlexW4220935987

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.