Evidence map›Paper›PMID 34526746›Full record

ArticleJournal of mid-life health

Role of Preoperative and Postoperative Pelvic Floor Distress Inventory-20 in Evaluation of Posthysterectomy Vault Prolapse.

Jai Bhagwan Sharma, Mukesh Kumar, K K Roy, Rajesh Kumari, Kavita Pandey

Open access · diamondAbstract read
In one paragraph

Article in Journal of mid-life health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Jai Bhagwan SharmaDepartment of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
Mukesh KumarDepartment of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
K K RoyDepartment of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
Rajesh KumariDepartment of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
Kavita PandeyDepartment of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
All India Institute of Medical Sciences · INAll India Institute of Medical Sciences Raipur · INAll India Institute of Medical Sciences Bhopal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPosthysterectomy vault prolapse is a common problem after vaginal or abdominal hysterectomy. The objective was to assess the role of Pelvic Floor Distress Inventory 20 (PFDI-20) in evaluation of vault prolapse. MATERIALS AND

methodsProspective study in 20 women with posthysterectomy vault prolapse of Stage 2 and above. The outcome measure was to calculate PFDI-20 score in all cases before surgical intervention and to recalculate it again in 6 months after different surgical procedures for vault prolapse and to statistically compare the PFDI-20 score in different types of surgery over 4 years period at a tertiary referral hospital for surgical treatment. Prolapse was classified using Pelvic Organ Prolapse Quantification and intraoperative findings. All women were operated for vault prolapse as per hospital protocol and stage of prolapse by either vaginal sacrospinous fixation or abdominal sacrocolpopexy.

resultsMean age, parity, and body mass index were 54.8 years, 3.5, and 22.71 kg/m

conclusionPFDI-20 score can be used to see the adverse impact of vault prolapse on pelvic floor and to assess the beneficial effect of different types of surgeries on the score.

Indexed as

CystoceleenterocelePelvic Floor Distress Inventory-20rectocelevault prolapse

Identifiers

PMID34526746
PMCPMC8409711
OpenAlexW3184073736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.