Evidence map›Paper›PMID 38061444›Full record

ArticleJournal of the American Academy of Dermatology2024

TRBC1 immunohistochemistry distinguishes cutaneous T-cell lymphoma from inflammatory dermatitis: A retrospective analysis of 39 cases.

Sarah E Nocco, Mark D Ewalt, Andrea P Moy, Natasha E Lewis, Menglei Zhu, Cecilia Lezcano, Klaus Busam, Melissa Pulitzer

Abstract read
In one paragraph

Article in Journal of the American Academy of Dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Cutaneous Hematologic Neoplasms in Children: Overview and Update.Dermatopathology (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Article
  4. The Diagnostic Utility of TRBC1 Immunohistochemistry in Mature T-Cell Lymphomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  5. Demonstration of T-Cell Monotypia Using Anti-TCRbeta1/2 (Diagnostics (Basel, Switzerland) · 2024
    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

8 authors.

Sarah E NoccoDepartment of Dermatology, Weill Cornell Medicine, New York, New York.
Mark D EwaltDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrea P MoyDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Natasha E LewisDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Menglei ZhuDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Cecilia LezcanoDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Klaus BusamDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Melissa PulitzerDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: pulitzem@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DermatitisLymphoma, T-Cell, CutaneousSkin NeoplasmsHumansImmunohistochemistryRetrospective StudiesCTCLcutaneous T-cell lymphomaFFPEflow cytometry lymphomaformalin-fixed paraffin-embeddedimmunohistochemistrylymphoproliferative disordersTRBC1

Identifiers

PMID38061444
PMCPMC10960695

What OpenQuestion holds

Textmetadata
LicenceTDM
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.