Evidence map›Paper›PMID 31737297›Full record

ArticleJournal of thoracic disease2019

Real world data of combined lung cancer and interstitial lung disease.

Tatsuo Kawahara, Hiroyuki Sakashita, Takafumi Suzuki, Tomoya Tateishi, Yasunari Miyazaki

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. [A Review of Drug Therapy of Lung Cancer with Interstitial Lung Disease].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Review
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

5 authors.

Tatsuo KawaharaDepartment of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Hiroyuki SakashitaDepartment of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Takafumi SuzukiDepartment of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Tomoya TateishiDepartment of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Yasunari MiyazakiDepartment of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch patients with combined lung cancer (LC) and interstitial lung disease (ILD) is insufficient. The objective of the study was to identify the frequency of such patients and treatments, including best supportive care (BSC), in the real world.

methodsAll patients with LC who were admitted to our hospital over a 5-year period from 2013 to 2017 were retrospectively analysed.

resultsIn this study, 698 patients with LC were enrolled. A total of 148 (21.2%) suffered from LC and ILD. Seventy-one LC-ILD patients received chemotherapy, and 20 LC-ILD patients received BSC only. Eleven BSC patients whom physicians thought could receive therapy declined treatment. The median survival time of patients who received chemotherapy was 14.3 months (95% confidence interval, 8.5-19.4 months). The median survival time of BSC patients who declined treatment was 7.2 months and that was shorter than that of patients who received chemotherapy.

conclusionsThis study suggests that patients with combined LC and ILD are common (21.2%) in the real world, and there is the possibility that therapy for LC-ILD patients is beneficial.

Indexed as

best supportive care (BSC)chemotherapyinterstitial lung disease (ILD)Lung cancer (LC)

Identifiers

PMID31737297
PMCPMC6837971

What OpenQuestion holds

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Registered trials

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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.