Evidence map›Paper›PMID 19495550›Full record

ArticleInternational urogynecology journal and pelvic floor dysfunction2009

Qualifying a quantitative approach to women's expectations of continence surgery.

Sushma Srikrishna, Dudley Robinson, Linda Cardozo

Abstract read
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In one paragraph

Article in International urogynecology journal and pelvic floor dysfunction, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Can sex survive pelvic floor surgery?International urogynecology journal · 2010
    Article
  9. 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 1 institution in 1 country.

Sushma SrikrishnaDepartment of Urogynaecology, King's College Hospital, Denmark Hill, London, SE5 9RS, UK. sushmasrikrishna@hotmail.com
Dudley Robinson
Linda Cardozo
King's College Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThe objective of this study is to explore expectations and goals of women undergoing continence surgery using a combined quantitative and qualitative approach.

methodsWomen with urinary incontinence, recruited from the waiting list, were assessed with a structured clinical interview, and these data were transcribed and analysed thematically (grounded theory). The Kings Health Questionnaire (KHQ) was used to determine incontinence impact on patient's life.

resultsIncontinence was objectively quantified using videocystourethrography. KHQ quantitative analysis suggested that the main domains affected were incontinence impact on life and physical limitations. However, qualitative analysis based on the interview found women were most affected by incontinence impact on physical or social limitation, sexual function, emotions and body image.

conclusionWhilst disease-specific QoL questionnaires allow broad comparisons to be made assessing patient bother; they lack sensitivity to assess individual symptoms. A qualitative approach may individualize patient care and improve patient satisfaction and overall outcome.

Indexed as

Gynecologic Surgical ProceduresPatient SatisfactionQuality of LifeAdultAgedAged, 80 and overBody ImageFemaleHumansInterviews as TopicMiddle AgedMotor ActivityProspective StudiesSexualitySurveys and QuestionnairesTreatment Outcome

Identifiers

PMID19495550
OpenAlexW2034560089

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.