Evidence map›Paper›PMID 36383618›Full record

ArticlePloS one2022

Predictors of large cell transformation in patients with Sezary Syndrome-A retrospective analysis.

Neil K Jairath, Redina Bardhi, John S Runge, Ramona Bledea, Ruple Jairath, Yang Wang, Matthew Patrick, Ryan A Wilcox, Alexandra C Hristov, Lam C Tsoi and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 40% 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, 1 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

11 authors at 3 institutions in 2 countries.

Neil K JairathDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0003-2317-169X
Redina BardhiDepartment of Dermatology, Wayne State University, Detroit, MI, United States of America.
John S RungeDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Ramona BledeaDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Ruple JairathDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Yang WangDepartment of Dermatology and Venereology, Peking University First Hospital, Beijing, China.
Matthew PatrickDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Ryan A WilcoxDepartment of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States of America.
Alexandra C HristovDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Lam C TsoiDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
Trilokraj TejasviDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States of America.
University of Michigan · USPeking University · CNWayne State University · US

Funding

SHORT-TERM TRAINING IN HEALTH PROF SCHOOLST35HL007690 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLAHERTY, KEVIN R · 1990 to 2024
$3.3M
Integrative Biology Approach to Identify and Characterize Roles of lncRNAs Associated with Psoriasis PathologyK01AR072129 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSOI, LAM CHEUNG · 2017 to 2021
$500k
NHLBI NIH HHS T35 HL007690NIAMS NIH HHS K01 AR072129
6 · The paper itself

Abstract

backgroundLarge cell transformation (LCT) of Sezary Syndrome (SS) is a rare phenomenon. To date, there are no rigorous studies identifying risk factors for its development.

objectivesHere, we seek to characterize the clinicopathologic risk factors that predispose patients with SS to develop LCT.

methodsWe retrospectively evaluated all SS patient records available in the Michigan Medicine Cancer Registry from 2010-2021. Clinical and pathologic variables were compared between groups. The Kaplan-Meier method and log-rank test were used to assess overall survival.

resultsOf 28 SS patients identified, eight patients experienced LCT, and 20 did not (NLCT). Peak lactate dehydrogenase (LDH) before LCT (p = 0.0012), maximum total body surface area (TBSA) involvement before LCT (p = 0.0114), absolute CD8+ cell count measured on flow cytometry at diagnosis of SS (p = 0.0455) and at the most recent blood draw (p = 0.00736), and ulceration on biopsy (p = 0.0034) were significant clinicopathologic variables identified between the SS patients that developed LCT versus those that did not.

conclusionsMaximum TBSA involvement, peak LDH, presence of ulceration, and decreased levels of CD8+ cells in the peripheral blood may predict the development of LCT in patients with SS.

Indexed as

Mycosis FungoidesSezary SyndromeSkin NeoplasmsCell Transformation, NeoplasticHumansL-Lactate DehydrogenasePrognosisRetrospective StudiesL-Lactate Dehydrogenase

Identifiers

PMID36383618
PMCPMC9668185
OpenAlexW4309135056

What OpenQuestion holds

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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.