Evidence map›Paper›PMID 34683110›Full record

ArticleJournal of personalized medicine2021

Pipelle Endometrial Biopsy for Abnormal Uterine Bleeding in Daily Clinical Practice: Why the Approach to Patients Should Be Personalized?

Naanlep M Tanko, Faina Linkov, Gauri Bapayeva, Talshyn Ukybassova, Aiym Kaiyrlykyzy, Gulzhanat Aimagambetova, Kamila Kenbayeva, Bakytkali Ibrayimov, Alla Lyasova, Milan Terzic

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Racioethnic Disparities in Endometrial Cancer Outcomes.Diagnostics (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Review
  7. 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

10 authors at 5 institutions in 2 countries.

Naanlep M TankoClinical Academic Department of Laboratory Medicine, Pathology and Genetics, University Medical Center, Republican Diagnostic Center, 2 Syganaq Street, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0003-1270-1886
Faina LinkovHealth Administration and Public Health Department, Rangos School of Health Sciences, Duquesne University, 600 Forbes Ave., Pittsburgh, PA 15282, USA.
Gauri BapayevaClinical Academic Department of Women's Health, National Research Center of Mother and Child Health, University Medical Center, Turan Ave. 32, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0002-8344-7873
Talshyn UkybassovaClinical Academic Department of Women's Health, National Research Center of Mother and Child Health, University Medical Center, Turan Ave. 32, Nur-Sultan 010000, Kazakhstan.
Aiym KaiyrlykyzyNational Laboratory of Astana, Nazarbayev University, Kabanbay Batyr Street, 53, Nur-Sultan 010000, Kazakhstan.
Gulzhanat AimagambetovaDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Zhanybek-Kerey khans Street, 5/1, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0002-2868-4497
Kamila KenbayevaClinical Academic Department of Women's Health, National Research Center of Mother and Child Health, University Medical Center, Turan Ave. 32, Nur-Sultan 010000, Kazakhstan.
Bakytkali IbrayimovClinical Academic Department of Laboratory Medicine, Pathology and Genetics, University Medical Center, Republican Diagnostic Center, 2 Syganaq Street, Nur-Sultan 010000, Kazakhstan.
Alla LyasovaPathology Bureau of Nur-Sultan city Administration, Zhansugirov Street, 1, Nur-Sultan 010000, Kazakhstan.
Milan TerzicDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID 0000-0003-3914-5154
National Research Center for Maternal and Child Health · KZNazarbayev University · KZRepublican Center for Healthcare Development · KZDuquesne University · USUniversity of Pittsburgh · US

Funding

Nazarbayev University 110119FD4540
6 · The paper itself

Abstract

backgroundAbnormal uterine bleeding (AUB) is a common gynecologic condition, and proper management is based on the histological evaluation of an adequate endometrial sample obtained via biopsy. The aims of this study were to evaluate factors influencing the reliability and success rate of Pipelle endometrial sampling for histopathological diagnosis.

methodsOne hundred and eighty patients with AUB underwent endometrial sampling using both Pipelle and dilatation and curettage (D&C) procedures at the Clinical Academic Department of Women's Health, University Medical Center between January 2019 and April 2021. We analyzed the effects of age, menopausal status, ethnicity, body mass index (BMI), provider experience, and procedure indication on the success and reliability of each procedure.

resultsPipelle sampling was successful in 144 (80.56%) women, while D&C was successful in 164 (91.11%) women. Analysis using Fisher's exact test showed that age, menopausal status, and biopsy indication were factors affecting the success rate of both methods, while ethnicity, BMI, and physician experience had no influence. Overall concordance in the histopathological results between Pipelle and D&C was 91.72%.

conclusionPipelle sampling was found to be reliable for the detection of endometrial carcinoma and endometrial hyperplasia, while its reliability was low in cases of endometrial polyps. The endometrial sampling approach should be personalized in daily clinical practice for women with AUB, and Pipelle sampling is not suitable for all patients. If an endometrial polyp is suspected, the physician should consider other diagnostic tools, bearing in mind all of the factors influencing endometrial sampling success and reliability rates.

Indexed as

clinical practicedilation and curettageendometrial carcinomaendometrial hyperplasiaendometrial polypendometrial samplingPipellereliabilitysuccess rate

Identifiers

PMID34683110
PMCPMC8539706
OpenAlexW3204184518

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.