Evidence map›Paper›PMID 30581336›Full record

ArticleJournal of medical biochemistry2018

Evaluation of Biochemical Hyperandrogenism in Adolescent Girls with Menstrual Irregularities.

Hale Göksever Çelik, Engin Çelik, Ibrahim Polat

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 72% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Hale Göksever ÇelikDepartment of Obstetrics and Gynecology, Kanuni Sultan Suleyman Training and Research Hospital,Istanbul, Turkey.
Engin ÇelikDepartment of Obstetrics and Gynecology, Istanbul University Istanbul Medical School,Istanbul, Turkey.
Ibrahim PolatDepartment of Obstetrics and Gynecology, Kanuni Sultan Suleyman Training and Research Hospital,Istanbul, Turkey.
İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi · TRIstanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate fertility hormone levels in adolescent girls and ten years older women with menstrual irregularities and with or without polycystic ovaries on ultrasound examination. The study population consisted of 276 patients aged 12-18 years and 469 patients aged 22-28 years who had menstrual irregularities with or without polycystic ovaries on ultrasound examination.

methodsAll subjects underwent a comprehensive medical assessment including documentation of the detailed history, physical and gynecological examination, measurement of the essential laboratory variables, and measurement of the fertility hormone levels.

resultsWithin 745 patients (mean age: 21.4±4.8), 276 patients were aged 12-18 years (group 1) and 469 patients were aged 22-28 years (group 2). Dehydroepiandrosterone sulfate (DHEA-S) (237.7 (22.6-721.5) vs. 162.5 (2.4- 660.7) respectively; p<0.001) was significantly higher in group 1 than group 2. There were 74 subjects (26.8%) with LH/FSH ratio > 2 in group 1 and 74 subjects (15.8%) with LH/FSH ratio > 2 in group 2 (p<0.001).

conclusionsBiochemical hyperandrogenism is much more valuable in adolescents than in young adult women for the diagnosis of PCOS. Biochemical hyperandrogenism should be tested in adolescents with menstrual irregularities.

Indexed as

biochemical hyperandrogenismDHEA-Spolycystic ovary syndrome

Identifiers

PMID30581336
PMCPMC6294109
OpenAlexW2802917028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.