Evidence map›Paper›PMID 27899014›Full record

ArticleThe Korean journal of internal medicine2017

Differentiation between polycystic ovary syndrome and polycystic ovarian morphology by means of an anti-Müllerian hormone cutoff value.

Do Kyeong Song, Jee-Young Oh, Hyejin Lee, Yeon-Ah Sung

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  8. Review
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  10. Anti-Müllerian Hormone Levels among Female Firefighters.International journal of environmental research and public health · 2022
    Article
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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

4 authors at 1 institution in 1 country.

Do Kyeong SongDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Jee-Young OhDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Hyejin LeeDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Yeon-Ah SungDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Ewha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsAlthough increased serum anti-Müllerian hormone (AMH) level has been suggested to be a surrogate marker of polycystic ovarian morphology (PCOM), its association with polycystic ovary syndrome (PCOS) is controversial, and its diagnostic value has not been determined. We aimed to observe the relationship between the AMH level and PCOS phenotypes and to determine the optimal cutoff value of AMH for the diagnosis of PCOS in young Korean women.

methodsWe recruited 207 women with PCOS (120 with PCOM and 87 without PCOM) and 220 regular cycling women with normoandrogenemia (100 with PCOM and 120 without PCOM). Subjects underwent testing at a single outpatient visit. Serum AMH level was measured.

resultsWomen with PCOS had higher serum AMH levels than did regular cycling women with normoandrogenemia (

conclusionThe serum AMH level can be useful for the diagnosis of PCOS at any age less than 40 years, and the optimal cutoff value for the diagnosis of PCOS identified in this study of young Korean women was 10.0 ng/mL.

Indexed as

AdultAnti-Mullerian HormoneBiomarkersFemaleHumansPolycystic Ovary SyndromeYoung AdultAnti-Mullerian HormoneBiomarkersAnti-Mullerian hormoneOvarian cystsPolycystic ovary syndrome

Identifiers

PMID27899014
PMCPMC5511935
OpenAlexW2559068825

What OpenQuestion holds

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LicenceCC BY-NC
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.