Evidence map›Paper›PMID 28977408›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2017

Model of lung cancer surgery risk derived from a Japanese nationwide web-based database of 78 594 patients during 2014-2015.

Shunsuke Endo, Norihiko Ikeda, Takashi Kondo, Jun Nakajima, Haruhiko Kondo, Kohei Yokoi, Masayuki Chida, Masami Sato, Shinichi Toyooka, Koichi Yoshida and 7 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

17 authors.

Shunsuke EndoDepartment of Thoracic Surgery, Jichi Medical University, Tochigi, Japan.
Norihiko IkedaDepartment of Thoracic Surgery, Tokyo Medical University Hospital, Tokyo, Japan.
Takashi KondoDepartment of Thoracic Surgery, Tohoku Medical and Pharmaceutical University Hospital, Miyagi, Japan.
Jun NakajimaDepartment of Thoracic Surgery, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Haruhiko KondoDepartment of General Thoracic Surgery, Kyorin University Hospital, Tokyo, Japan.
Kohei YokoiDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Aichi, Japan.
Masayuki ChidaDepartment of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan.
Masami SatoDepartment of General Thoracic Surgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Shinichi ToyookaDepartment of Thoracic Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Koichi YoshidaDepartment of Thoracic Surgery, Tokyo Medical University Hospital, Tokyo, Japan.
Yoshinori OkadaDepartment of Thoracic Surgery, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan.
Yukio SatoFaculty of Medicine, Department of Thoracic Surgery, University of Tsukuba, Ibaraki, Japan.
Morihito OkadaDepartment of Surgical Oncology, Hiroshima University, Hiroshima, Japan.
Meinoshin OkumuraDepartment of General Thoracic Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Koji ChiharaDivision of Thoracic Surgery, Shizuoka Hospital, Shizuoka, Japan.
Eriko FukuchiDepartment of Healthcare Quality Assessment, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Hiroaki MiyataDepartment of Healthcare Quality Assessment, University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUsing data obtained from a Japanese nationwide annual database with web-based data entry, we developed a risk model of mortality and morbidity after lung cancer surgery.

methodsThe characteristics and operative and postoperative data from 80 095 patients who underwent lung cancer surgery were entered into the annual National Clinical Database of Japan data sets for 2014 and 2015. After excluding 1501 patients, the development data set for risk models included 38 277 patients entering in 2014 and the validation data set included 40 317 patients entering in 2015. Receiver-operating characteristic curves were generated for the outcomes of mortality and composite mortality/major morbidity. The concordance index was used to assess the discriminatory ability and validity of the model.

resultsThe 30-day mortality and overall mortality rates, including in-hospital deaths, were 0.4% and 0.8%, respectively, in 2014, and 0.4% and 0.8%, respectively, in 2015. The rate of major morbidity was 5.6% in 2014 and 5.6% in 2015. Several risk factors were significantly associated with mortality, namely, male sex, performance status, comorbidities of interstitial pneumonia and liver cirrhosis, haemodialysis and the surgical procedure pneumonectomy. The concordance index for mortality and composite mortality/major morbidity was 0.854 (P < 0.001) and 0.718 (P < 0.001), respectively, for the development data set and 0.849 (P < 0.001) and 0.723 (P < 0.001), respectively, for the validation data set.

conclusionsThis model was satisfactory for predicting surgical outcomes after pulmonary resection for lung cancer in Japan and will aid preoperative assessment and improve clinical outcomes for lung cancer surgery.

Indexed as

InternetPulmonary Surgical ProceduresRegistriesAgedDatabases, FactualFemaleHospital MortalityHumansJapanLung NeoplasmsMaleMiddle AgedMorbidityNeoplasm StagingPostoperative ComplicationsRisk AssessmentLung cancerNationwide surveyRisk modelSurgery

Identifiers

PMID28977408
PMCPMC5848741

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.