Evidence map›Paper›PMID 33457341›Full record

ArticleAdvanced biomedical research2020

Diagnostic Values of Pipelle and Standard Curettage Compared to Hysterectomy Pathology in Postmenopausal Bleeding: A Comparative Study.

Fariba Behnamfar, Elham Arshad

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
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

2 authors at 1 institution in 1 country.

Fariba BehnamfarDepartment of Obstetrics and Gynecology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Elham ArshadDepartment of Obstetrics and Gynecology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostmenopausal bleeding might occur due to many benign and malignant underlying diseases. Differentiating between these diseases poses a great importance. This study was designed to compare the diagnostic value of pipelle endometrial sampling and curettage in patients with postmenopausal bleeding. Further, the results were compared with hysterectomy if performed. MATERIALS AND

methodsEighty-seven patients with postmenopausal bleeding were included. Pipelle sampling endometrial biopsy was performed for patients in office, and then, patients were transferred to the operation room for dilatation and curettage. Pathology results of pipelle sampling were compared with curettage method. If hysterectomy was performed due to any reason, it was compared as well.

resultsThe pipelle sampling biopsy diagnosed 94.1% of malignant tumors, and curettage sampling biopsy diagnosed 100% of malignant tumors. The sensitivity and specificity of pipelle compared to curettage were 94.12% and 100%, respectively, for the diagnosis of malignant tumors. Based on the Kappa test, the agreement between pipelle and curettage sampling biopsy was statistically significant (

conclusionThe endometrial sampling with pipelle is safe and cost-effective in patients referred with postmenopausal bleeding. This might avoid the need for general anesthesia for the detection of endometrial hyperplasia and endometrial malignancy.

Indexed as

Dilatation and curettagehysterectomymenopausemetrorrhagiapostmenopause

Identifiers

PMID33457341
PMCPMC7792876
OpenAlexW3096106017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.