Evidence map›Paper›PMID 38327900›Full record

SynthesisFrontiers in endocrinology2023

Blood nesfatin-1 levels in patients with polycystic ovary syndrome: a systematic review and meta-analysis.

Mei Wang, Jiao Tong, Qing Zhu, Huaiyun Tang, Lisha Tang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. 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
1.1field-weighted citation impact, top 23% 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, 2 citations in OpenAlex.

  1. Review
  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

5 authors at 1 institution in 1 country.

Mei WangClinical Centre of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China.
Jiao TongClinical Centre of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China.
Qing ZhuClinical Centre of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China.
Huaiyun Tang *Clinical Centre of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China.
Lisha Tang *Clinical Centre of Reproductive Medicine, Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China.
Lianyungang Maternal and Children’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have investigated the relationship between nesfatin-1 level and polycystic ovary syndrome (PCOS). However, these studies have produced conflicting results. Thus, in this meta-analysis, we aimed to clarify the association between blood nesfatin-1 levels and PCOS, and the ability of nesfatin-1 as a biomarker in PCOS. Methods: Meta-analysis was performed using STATA 12.0 software. We computed standard mean difference (SMD) and 95% confidence interval (CI) regarding the comparison of blood nesfatin-1 in patients with PCOS and controls. Results: The present meta-analysis showed no significant difference in blood nesfatin-1 level between patients with PCOS and controls with a random effects model (SMD = 0.03; 95%CI: -0.71, 0.77; I Conclusion: In conclusion, there is no significant relationship between blood nesfatin-1 levels and PCOS.

Indexed as

NucleobindinsPolycystic Ovary SyndromeBiomarkersEthnicityFemaleHumansObesityBiomarkersNUCB2 protein, humanNucleobindinsmeta-analysisnesfatin-1polycystic ovary syndromeserumsystematic review

Identifiers

PMID38327900
PMCPMC10847586
OpenAlexW4391172431

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.