Evidence map›Paper›PMID 26043911›Full record

ArticleJournal of assisted reproduction and genetics2015

An externally validated age-related model of mean follicle density in the cortex of the human ovary.

M McLaughlin, T W Kelsey, W H B Wallace, R A Anderson, E E Telfer

Open access · hybridAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

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  14. Consequences ofFrontiers in endocrinology · 2020
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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

5 authors at 4 institutions in 1 country.

M McLaughlinInstitute of Cell Biology and Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK.
T W Kelsey
W H B Wallace
R A Anderson
E E Telfer
Wellcome Centre for Cell Biology · GBRoyal Hospital for Children · GBUniversity of Edinburgh · GBUniversity of St Andrews · GB

Funding

Medical Research Council G0901839Medical Research Council G1100357Medical Research Council MR/L00299X/1
6 · The paper itself

Abstract

purposeThe ability to accurately estimate a woman's ovarian reserve by non-invasive means is the goal of ovarian reserve prediction. It is not known whether a correlation exists between model-predicted estimates of ovarian reserve and data generated by direct histological analysis of ovarian tissue. The aim of this study was to compare mean non-growing follicle density values obtained from analysis of ovarian cortical tissue samples against ovarian volume models.

methodsNon-growing follicle density values were obtained from 13 ovarian cortical biopsies (16-37 years). A mean non-growing follicle density was calculated for each patient by counting all follicles in a given volume of biopsied ovarian cortex. These values were compared to age-matched model generated densities (adjusted to take into consideration the proportion of ovary that is cortex) and the correlation between data sets tested.

resultsNon-growing density values obtained from fresh biopsied ovarian cortical samples closely matched model generated data with low mean difference, tight agreement limits and no proportional error between the observed and predicted results.

conclusionThese findings validate the use of the adjusted population and ovarian volume models, to accurately predict mean follicle density in the ovarian cortex of healthy adult women.

Indexed as

Models, BiologicalAdolescentAdultAgingFemaleHumansOvarian FollicleOvaryReproducibility of ResultsYoung Adult

Identifiers

PMID26043911
PMCPMC4531872
OpenAlexW1873933236

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.