Evidence map›Paper›PMID 22890278›Full record

ArticleInternational urogynecology journal2013

The familiality of pelvic organ prolapse in the Utah Population Database.

Peggy A Norton, Kristina Allen-Brady, Lisa A Cannon-Albright

Abstract read
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Article in International urogynecology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

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  10. Phenotyping clinical disorders: lessons learned from pelvic organ prolapse.American journal of obstetrics and gynecology · 2013
    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.

Peggy A NortonDepartment of Obstetrics and Gynecology, Division of Urogynecology and Reconstructive Pelvic Surgery, University of Utah Health Sciences Center, Salt Lake City, UT 84132, USA. peggy.norton@hsc.utah.edu
Kristina Allen-Brady
Lisa A Cannon-Albright
University of Utah · USGeorge E. Wahlen Department of VA Medical Center · US

Funding

IDENTIFICATION OF GENES PREDISPOSING TO PELVIC FLOOR DISORDERSR01HD061821 · NICHD · UNIVERSITY OF UTAH · PI ALBRIGHT, LISA CANNON · 2009 to 2013
$3.5M
Genetic Determinants of Pelvic Floor DisordersR01HD041163 · NICHD · UNIVERSITY OF UTAH · PI NORTON, PEGGY A · 2001 to 2005
$1.6M
NICHD NIH HHS R01 HD061821NICHD NIH HHS R01 HD41163
6 · The paper itself

Abstract

introduction and hypothesisPelvic organ prolapse (POP) in women is a common condition whose etiology is poorly understood. There is increasing evidence that POP is heritable. The aim of our study was to define and evaluate familial clustering of POP.

methodsUsing a population-based Utah genealogy linked to more than a decade of hospital data, we calculated relative risks (RR) of POP in female relatives of women with POP using age- and birth year-specific rates of POP. We compared the average pairwise relatedness of all POP cases to the population using a measure of genetic distance.

resultsWe identified 1,292 women with diagnostic and procedure codes for POP. The RR of POP was significantly elevated in first- and third-degree female relatives (RR 4.15, p < 0.001; RR 1.24, p = 0.05). The average pairwise relatedness for all individuals with POP was significantly higher than expected (p < 0.001).

conclusionsThese results strongly support a significant heritable contribution to POP.

Indexed as

FamilyGenetics, PopulationCluster AnalysisDatabases, FactualFemaleGenealogy and HeraldryHumansIncidencePelvic Organ ProlapseRetrospective StudiesUtah

Identifiers

PMID22890278
OpenAlexW1982204645

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.