SynthesisBMC endocrine disorders2023

Effects of GLP1RAs on pregnancy rate and menstrual cyclicity in women with polycystic ovary syndrome: a meta-analysis and systematic review.

Lingling Zhou, Huanjia Qu, Lu Yang, Lan Shou

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC endocrine disorders, 2023. The graph read 1 number from its abstract, feeding 1 cell of the map, but none could be read as for or against, so it casts no vote. It also reports an association that does not count as treatment evidence, such as RR 1.72 (1.22 to 2.43) for pregnancy & neonatal. Cited by 31 papers, 2 of them syntheses that pooled it.

1number the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
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.

Read, but not usablea number the graph found but could not read as for or against

Pregnancy & neonatalan association or prognostic statement, not a treatment comparison · head-to-head · t2d, gdmfeeds one cell of the map
RR 1.721.22 to 2.43P = 0.002
GLP1RAs usage was associated with an improvement in natural pregnancy rate (RR: 1.72, 95% CI 1.22 to 2.43, P = 0.002, I CONCLUSIONS: Prescription of GLP1RAs improves natural pregnancy rate, menstrual cyclicity and insulin sensitivity, anthropometrics, hormonal indexes in PCOS women.

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

GLP-1 receptor agonists×pregnancy & neonatal

No readable resultOpen on the map →What to test next →

No other readable study in this cell yet. This paper is the evidence.

Belief with this paper
0.25no deciding trial · 0 families support, 0 contradict · against placebo
Without itNot a counted family in this claim, so removing it changes nothing.
4 · 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.

5 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Review
  6. Review
  7. Review
  8. Weight management in women of reproductive age.Obesity and endocrinology · 2026
    Review
  9. Review
  10. Review
  11. Evolving PCOS Management: From Symptom Control to Phenotype-Targeted Therapy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
6 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

7 · Who and what money

Authors and funding

4 authors.

Lingling Zhou *Metabolic Disease Center, Department of Endocrinology and Metabolic Disease, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Huanjia Qu *Metabolic Disease Center, Department of Endocrinology and Metabolic Disease, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Lu YangMetabolic Disease Center, Department of Endocrinology and Metabolic Disease, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Lan ShouMetabolic Disease Center, Department of Endocrinology and Metabolic Disease, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China. 2021011012013@stu.hznu.edu.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2023RC234
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

purposeThis study was aimed to assess the effectiveness of Glucagon-like peptide 1 receptor agonists on pregnancy rate, menses, anthropometric and hormonal parameters in PCOS patients.

methodsWe conducted searches of the published literature in PubMed, EMBASE, Cochrane Library, Web of Science up to September 2022. Data from randomized controlled trials were obtained to assess the effects of GLP1RAs in PCOS women. Weighted mean difference, standardized mean difference, and risks ratio were employed for effect size estimation using a random-effects model.

resultsA total of 840 patients with 469 individuals in GLP1RAs group and 371 individuals in control group from 11 RCTs were included. GLP1RAs usage was associated with an improvement in natural pregnancy rate (RR: 1.72, 95% CI 1.22 to 2.43, P = 0.002, I

conclusionsPrescription of GLP1RAs improves natural pregnancy rate, menstrual cyclicity and insulin sensitivity, anthropometrics, hormonal indexes in PCOS women.

Indexed as

Insulin ResistanceMetforminPolycystic Ovary SyndromeFemaleHumansPeriodicityPregnancyPregnancy RateMetforminGlucagon-like peptide 1Menstrual patternsMeta-analysisPolycystic ovary syndromePregnancy rate

Identifiers

PMID37940910
PMCPMC10631119

What Socratic holds

Texttitle and abstract
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 Socratic graph.