Evidence map›Paper›PMID 26607183›Full record

ReviewAmerican journal of hematology2016

Cutaneous T-cell lymphoma: 2016 update on diagnosis, risk-stratification, and management.

Ryan A Wilcox

Abstract readReview
In one paragraph

Review in American journal of hematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Eosinophils in skin diseases.Seminars in immunopathology · 2021
    Review
  16. Observational
  17. Review
  18. Article
  19. Article
  20. Prognostic factors of patients with mycosis fungoides.Postepy dermatologii i alergologii · 2020
    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

1 author.

Ryan A WilcoxDivision of Hematology/Oncology, University of Michigan Cancer Center, 1500 E. Medical Center Drive, Ann Arbor, Michigan.

Funding

The role of GATA-3 in T-cell lymphomasK08CA172215 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILCOX, RYAN A · 2013 to 2017
$893k
NCI NIH HHS K08 CA172215NCI NIH HHS K08CA172215
6 · The paper itself

Abstract

disease overviewCutaneous T-cell lymphomas are a heterogenous group of T-cell lymphoproliferative disorders involving the skin, the majority of which may be classified as Mycosis Fungoides (MF) or Sézary Syndrome (SS). DIAGNOSIS: The diagnosis of MF or SS requires the integration of clinical and histopathologic data. RISK-ADAPTED THERAPY: TNMB (tumor, node, metastasis, blood) staging remains the most important prognostic factor in MF/SS and forms the basis for a "risk-adapted," multidisciplinary approach to treatment. For patients with disease limited to the skin, expectant management or skin-directed therapies is preferred, as both disease-specific and overall survival for these patients is favorable. In contrast, patients with advanced-stage disease with significant nodal, visceral, or blood involvement are generally approached with biologic-response modifiers or histone deacetylase inhibitors before escalating therapy to include systemic, single-agent chemotherapy. In highly-selected patients, allogeneic stem-cell transplantation may be considered, as this may be curative in some patients.

Indexed as

Lymphoma, T-Cell, CutaneousSkin NeoplasmsStem Cell TransplantationHistone Deacetylase InhibitorsHumansMycosis FungoidesNeoplasm StagingRisk AssessmentSezary SyndromeSurvival AnalysisHistone Deacetylase Inhibitors

Identifiers

PMID26607183
PMCPMC4715621

What OpenQuestion holds

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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.