Evidence map›Paper›PMID 25616178›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2015

The impact of thymoma histotype on prognosis in a worldwide database.

Cleo-Aron Weis, Xiaopan Yao, Yanhong Deng, Frank C Detterbeck, Mirella Marino, Andrew G Nicholson, James Huang, Philipp Ströbel, Alberto Antonicelli, Alexander Marx and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 2% 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

117 citing papers in PubMed, 2 syntheses or guidelines pooled it, 219 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

57 more citing papers are in PubMed but not listed here.

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 6 institutions in 3 countries.

Cleo-Aron Weis*Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany; †Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; ‡Division of Thoracic Surgery, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut; §Department of Pathology, Regina Elena National Cancer Institute, Rome, Italy; ║Department of Histopathology, Royal Brompton Hospital, and National Heart and Lung Institute, Imperial College London, London, United Kingdom; ¶Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York; and #Institute of Pathology, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.
Xiaopan Yao
Yanhong Deng
Frank C Detterbeck
Mirella Marino
Andrew G Nicholson
James Huang
Philipp Ströbel
Alberto Antonicelli
Alexander Marx
Contributors to the ITMIG Retrospective Database
Yale University · USHeidelberg University · DEMemorial Sloan Kettering Cancer Center · USRoyal Brompton Hospital · GBUniversitätsmedizin Göttingen · DEUniversity Medical Centre Mannheim · DE

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MARCUS W BOSENBERG · 1985 to 2026
$85.0M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
NCATS NIH HHS UL1 TR000142
6 · The paper itself

Abstract

introductionThe rarity of thymomas and lack of multi-institutional studies have hampered therapeutic progress for decades. To overcome this, the members of the International Thymic Malignancy Interest Group created a worldwide retrospective database. This database was analyzed regarding the demographic and geographic distribution of thymomas and the impact of different variables on survival and recurrence.

methodsThis study analyzed 4221 thymomas diagnosed between 1983 and 2012 with World Health Organization histotype information from the International Thymic Malignancy Interest Group database. Associations to survival and recurrence were studied by univariate and multivariate analyses.

resultsType B2 thymoma is the most common (28%) and type A the least common (12%) histotypes. They are significantly more frequent in Europe and the United States than Asia. Type A and AB occur at significantly higher age than other thymomas (64 and 57 years, respectively). There are no differences in gender distribution. Stage is lower in type A (90% in stages I-II) and AB than B1 to B3 thymomas (38% of type B3 in stage III). In univariate analysis, recurrence is significantly less frequent among stage I/II tumors, in type A and AB (recurrence rates, 1-2%) than B1 to B3 thymomas (2-7%). Multivariate analysis reveals an impact of age, stage, and resection status on survival and recurrence, whereas for histology there is only a significant impact on recurrence.

conclusionNew findings are (1) geographic differences such as a lower incidence of type A and B2 thymoma in Asia; and (2) impact of stage and histology, the latter partially limited to early stage disease, on recurrence.

Indexed as

FemaleHumansMaleMiddle AgedPrognosisSurvival AnalysisThymomaTreatment OutcomeWorld Health Organization

Identifiers

PMID25616178
PMCPMC4318643
OpenAlexW1995590973

What OpenQuestion holds

Textmetadata
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.