Evidence map›Paper›PMID 25806242›Full record

ReviewTranslational lung cancer research2013

New TNM classification: achievements and hurdles.

Peter Goldstraw

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Locally advanced non-small cell lung cancer: current issues and recent trends.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
  5. Article
  6. New TNM staging in lung cancer (8Journal of clinical and translational research · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Safety and feasibility of video-assisted thoracoscopic surgery for stage IIIA lung cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2014
    Article
  12. Article
  13. Lung cancer: changes in histology, gender, and age over the last 30 years in Brazil.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia
    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.

Peter GoldstrawThoracic Surgery, Royal Brompton Hospital, London, UK ; ; Thoracic Surgery, National Heart and Lung Institute, Imperial College, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 7th edition of TNM for Lung Cancer represented a major advance from previous editions, in the process of revision, the size and breadth of the data base used, its international character, the intensity of the analysis and the critical nature of the internal and external validation undertaken before its launch in January 2010. This all came about by the involvement of the International Association for the Study of Lung Cancer (IASLC), which assumed the role previously performed by Dr. Mountain, of developing data-driven revisions for the Union for International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC). In taking on this task the IASLC made the global lung cancer community aware of the limitations of previous revisions and now stand accountable and subject to the same scrutiny. In this article we describe the achievements of the IASLC TNM and Prognostic Factors Committee, but also the short-comings of the 7th edition, as an essential step towards rectifying deficiencies and further improving the classification in future revisions.

Indexed as

Lung cancerprognostic factorsstaging

Identifiers

PMID25806242
PMCPMC4367620

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.