Evidence map›Paper›PMID 26265389›Full record

ArticleGlobal health action2015

Uterine prolapse and its impact on quality of life in the Jhaukhel-Duwakot Health Demographic Surveillance Site, Bhaktapur, Nepal.

Binjwala Shrestha, Sharad Onta, Bishnu Choulagai, Rajan Paudel, Max Petzold, Alexandra Krettek

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Uterine prolapse: a hidden tragedy of women in rural Nepal.International urogynecology journal · 2018
    Article
  12. 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

6 authors at 4 institutions in 4 countries.

Binjwala ShresthaDepartment of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Sharad OntaDepartment of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Bishnu ChoulagaiDepartment of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Rajan PaudelDepartment of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Max PetzoldHealth Metrics, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Alexandra KrettekDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Tribhuvan University Teaching Hospital · NPUiT The Arctic University of Norway · NOUniversity of Gothenburg · SEUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine prolapse (UP) is a reproductive health problem and public health issue in low-income countries including Nepal.

objectiveWe aimed to identify the contributing factors and stages of UP and its impact on quality of life in the Jhaukhel-Duwakot Health Demographic Surveillance Site of Bhaktapur, Nepal.

designOur three-phase study used descriptive cross-sectional analysis to assess quality of life and stages of UP and case-control analysis to identify contributing factors. First, a household survey explored the prevalence of self-reported UP (Phase 1). Second, we used a standardized tool in a 5-day screening camp to determine quality of life among UP-affected women (Phase 2). Finally, a 1-month community survey traced self-reported cases from Phase 1 (Phase 3). To validate UP diagnoses, we reviewed participants' clinical records, and we used screening camp records to trace women without UP.

resultsAmong 48 affected women in Phase 1, 32 had Stage II UP and 16 had either Stage I or Stage III UP. Compared with Stage I women (4.62%), almost all women with Stage III UP reported reduced quality of life. Decreased quality of life correlated significantly with Stages I-III. Self-reported UP prevalence (8.7%) included all treated and non-treated cases. In Phase 3, 277 of 402 respondents reported being affected by UP and 125 were unaffected. The odds of having UP were threefold higher among illiterate women compared with literate women (OR=3.02, 95% CI 1.76-5.17), 50% lower among women from nuclear families compared with extended families (OR=0.56, 95% CI 0.35-0.90) and lower among women with 1-2 parity compared to >5 parity (OR=0.33, 95% CI 0.14-0.75).

conclusionsThe stages of UP correlated with quality of life resulting from varied perceptions regarding physical health, emotional stress, and social limitation. Parity, education, age, and family type associated with UP. Our results suggest the importance of developing policies and programs that are focused on early health care for UP. Through family planning and health education programs targeting women, as well as women empowerment programs for prevention of UP, it will be possible to restore quality of life related to UP.

Indexed as

AdultAge FactorsCross-Sectional StudiesEmotionsFemaleHealth StatusHumansInterpersonal RelationsMiddle AgedNepalPrevalenceQuality of LifeRisk FactorsSeverity of Illness IndexSleepSocioeconomic FactorsHealth Demographic Surveillance SiteNepalquality of lifeuterine prolapse

Identifiers

PMID26265389
PMCPMC4532727
OpenAlexW2106311362

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.