Evidence map›Paper›PMID 39717157›Full record

ReviewGynecologic oncology reports2024

Utilization of immunohistochemistry in gynecologic tumors: An expert review.

Arielle H Katcher, Michelle P Greenman, Sudarshana Roychoudhury, Gary L Goldberg

Abstract readReview
In one paragraph

Review in Gynecologic oncology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Immunohistochemistry for PTEN testing in HR +/HER2- metastatic breast cancer.Virchows Archiv : an international journal of pathology · 2025
    Review
  6. 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

4 authors.

Arielle H KatcherDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Long Island Jewish Medical Center, Zucker School of Medicine at Hofstra/Northwell, Northwell Health, New Hyde Park, NY, United States.
Michelle P GreenmanDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Long Island Jewish Medical Center, Zucker School of Medicine at Hofstra/Northwell, Northwell Health, New Hyde Park, NY, United States.
Sudarshana RoychoudhuryDepartment of Pathology and Laboratory Medicine, Long Island Jewish Medical Center, Zucker School of Medicine at Hofstra/Northwell, Northwell Health, New Hyde Park, NY, United States.
Gary L GoldbergDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Long Island Jewish Medical Center, Zucker School of Medicine at Hofstra/Northwell, Northwell Health, New Hyde Park, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of immunohistochemistry (IHC) and molecular pathology has been widely adopted over the past 3 decades and has aided in the precision of diagnosing gynecologic tumors. While many tumors can be diagnosed by histologic appearance on routine hematoxylin and eosin stained slides, the use of IHC has dramatically changed practice, leading to a better understanding and subtyping of gynecologic tumors. This detailed classification of tumors has aided in the implementation and development of targeted therapies. Available IHC stains and their applications continue to rapidly evolve. Our review aims to provide updated information on the use of IHC in gynecologic tumors. We will also address the rationale for preferred therapeutic regimens that are personalized based on IHC.

Indexed as

Cervical cancerEndometrial cancerGynecologic cancerImmunohistochemistryOvarian cancerPathology

Identifiers

PMID39717157
PMCPMC11664289

What OpenQuestion holds

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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.