Evidence map›Paper›PMID 35975244›Full record

ArticleActa endocrinologica (Bucharest, Romania : 2005)

PLASMA NEPRILYSIN LEVELS IN PATIENTS WITH POLYCYSTIC OVARY SYNDROME.

O Oz Gul, P Sisman, S Cander, E Sarandol, C Ersoy, E Erturk

Open access · greenAbstract read
In one paragraph

Article in Acta endocrinologica (Bucharest, Romania : 2005). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 1 institution in 1 country.

O Oz GulUludag University Medical School, Department of Endocrinology and Metabolism, Bursa, Turkey.
P SismanMedicana Hospital, Endocrinology and Metabolism Clinic, Bursa, Turkey.
S CanderUludag University Medical School, Department of Endocrinology and Metabolism, Bursa, Turkey.
E SarandolUludag University Medical School, Department of Biochemistry, Bursa, Turkey.
C ErsoyUludag University Medical School, Department of Endocrinology and Metabolism, Bursa, Turkey.
E ErturkUludag University Medical School, Department of Endocrinology and Metabolism, Bursa, Turkey.
Bursa Uludağ Üni̇versi̇tesi̇ · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Insulin resistance has been detected in a majority of patients with polycystic ovary syndrome (PCOS). Elevated neprilysin levels are associated with insulin resistance. Objective: The present study aims to investigate plasma neprilysin and its relationship with endocrine and metabolic characteristics in patients with PCOS. Subjects and Methods: Thirty-five premenopausal PCOS patients and 35 healthy volunteers of similar age were included in the study. Demographic characteristics, biochemical and hormonal findings and also plasma neprilysin levels were determined in these patients and healthy controls. Results: In our study, HOMA-IR values were significantly higher in PCOS patients (3.3 ± 1.8) compared with the controls [(1.6 ± 1), p<0.01]. Plasma neprilysin levels were significantly higher in the PCOS group compared to the control group (1502.1 ± 1641.2 Conclusion: Our findings revealed significantly higher levels for plasma neprilysin and HOMA-IR values in PCOS patients when compared to controls. No significant differences were noted between obese PCOS patients and non-obese PCOS patients in terms of plasma neprilysin levels.

Indexed as

insulin resistanceneprilysinobesitypolycystic ovary syndrome

Identifiers

PMID35975244
PMCPMC9365417
OpenAlexW4290659278

What OpenQuestion holds

Textmetadata
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.