Evidence map›Paper›PMID 30538553›Full record

ArticleCancer management and research2018

Prognostic significance of the 8th edition of the TNM classification for patients with extensive disease small cell lung cancer.

Masayuki Shirasawa, Tomoya Fukui, Seiichiro Kusuhara, Yasuhiro Hiyoshi, Mikiko Ishihara, Masashi Kasajima, Yoshiro Nakahara, Sakiko Otani, Satoshi Igawa, Masanori Yokoba and 5 more

Abstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

15 authors.

Masayuki ShirasawaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Tomoya FukuiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Seiichiro KusuharaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Yasuhiro HiyoshiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Mikiko IshiharaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Masashi KasajimaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Yoshiro NakaharaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Sakiko OtaniDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Satoshi IgawaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Masanori YokobaDepartment of Medical Laboratory, Kitasato University School of Allied Health Sciences, Kanagawa, Japan.
Hisashi MitsufujiFundamental Nursing, Kitasato University School of Nursing, Kanagawa, Japan.
Masaru KubotaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Masato KatagiriDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.
Jiichiro SasakiResearch and Development Center for New Medical Frontiers, Kitasato University School of Medicine, Kanagawa, Japan.
Katsuhiko NaokiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Kanagawa, Japan, tofukui@med.kitasato-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall cell lung cancer (SCLC) is typically categorized according to disease extent as limited or extensive, and utility of the 8th TNM classification, recommended for lung cancer staging, which demonstrates a strong association with non-small-cell lung cancer (NSCLC) management, remains unclear.

methodsThis retrospective study included 277 consecutive SCLC patients treated at a single institution between 2008 and 2016.

resultsAccording to the currently used two-stage system, 186 (65.7%) of the patients were classified as having extensive disease (ED)-SCLC. Among the ED-SCLC patients, ten (5.3%), 38 (20.4%), 32 (17.2%), and 106 (57.0%) were categorized into stages M0, M1a, M1b, and M1c, respectively, according to the 8th TNM classification. There was a significant difference in overall survival based on the M descriptors: 15.8 (95% CI 9.4-22.2) months in the M1b group vs 7.3 (95% CI 5.7-8.9) months in the M1c group (

conclusionThe 8th TNM classification has a prognostic value in SCLC. Similarly to NSCLC, treatment approaches should be considered on the basis of the 8th TNM classification, especially stage IVA separate from stage IVB in ED-SCLC patients.

Indexed as

extensive diseaseprognosissmall cell lung cancerTNM stage

Identifiers

PMID30538553
PMCPMC6252783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.