Evidence map›Paper›PMID 27640610›Full record

ReviewObstetrical & gynecological survey2016

The Impact of Adenomyosis on Women's Fertility.

Tasuku Harada, Yin Mon Khine, Apostolos Kaponis, Theocharis Nikellis, George Decavalas, Fuminori Taniguchi

Open access · greenAbstract readReview
In one paragraph

Review in Obstetrical & gynecological survey, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 5 pooled it
14.5field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 5 syntheses or guidelines pooled it, 248 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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 3 institutions in 3 countries.

Tasuku HaradaProfessor.
Yin Mon KhinePostgraduate Student, Department of Obstetrics and Gynecology, Tottori University Faculty of Medicine, Tottori, Japan.
Apostolos KaponisAssociate Professor.
Theocharis NikellisTraining Doctor.
George DecavalasProfessor, Department of Obstetrics and Gynecology, Patras University School of Medicine, Patra, Greece.
Fuminori TaniguchiAssociate Professor, Department of Obstetrics and Gynecology, Tottori University, Faculty of Medicine, Tottori, Japan.
University of Patras · GRTottori University · JPMarymount University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, adenomyosis has been associated with multiparity, not impaired fertility. Currently, adenomyosis is diagnosed with increasing frequency in infertile patients since women delay their first pregnancy until their late 30s or early 40s. Although an association between adenomyosis and infertility has not been fully established, based on the available information, recent studies suggested that adenomyosis has a negative impact on female fertility. Several uncontrolled studies with limited data also suggested that treatment of adenomyosis may improve fertility. This article discusses (i) the hypothesis and epidemiology of adenomyosis, (ii) diagnostic techniques, (iii) clinical evidence of correlation between adenomyosis and infertility, (iv) proposed mechanism of infertility in women with adenomyosis, (v) different treatment strategies and reproductive outcomes, and (vi) assisted reproductive technology outcome in women with adenomyosis.

Indexed as

AdenomyosisInfertility, FemaleReproductive Techniques, AssistedDiagnostic ImagingDisease ManagementFemaleHumansOutcome and Process Assessment, Health CarePregnancyReproductive HealthRisk Factors

Identifiers

PMID27640610
PMCPMC5049976
OpenAlexW2515052691

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.