Evidence map›Paper›PMID 30538442›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease

Impact of chemotherapy in the prognosis of non-small-cell lung cancer patients with severe to very severe COPD.

Weigang Dong, Yan Du, Shuping Ma

Abstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Weigang DongDepartment of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China, mashuping60000@126.com.
Yan DuDepartment of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China, mashuping60000@126.com.
Shuping MaDepartment of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China, mashuping60000@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to investigate if first-line chemotherapy improves total survival time in non-small-cell lung cancer (NSCLC) patients complicated with severe to very severe COPD. MATERIALS AND

methodsThis retrospective observational clinical study included 267 consecutive NSCLC patients with COPD complications at the Department of Respiratory and Critical Care Medicine of Tianjin Chest Hospital between January 2009 and January 2018. Sixty-nine evaluable patients were included. The clinical characteristics, toxicity profile, objective response rate, and prognosis were analyzed and compared between patients receiving and those not receiving chemotherapy.

resultsForty-five and 24 patients received first-line chemotherapy plus supportive care and supportive care alone, respectively. Kaplan-Meier curves showed that patients receiving chemotherapy had a statistically significant 6-month longer median overall survival (OS) than that of patients receiving supportive care alone (14.0, 95% CI: 8.5-19.5 vs 8.0, 95% CI: 6.4-9.6, respectively) (chi2=8.857,

conclusionThe results indicated that chemotherapy may improve the OS of NSCLC patients with severe to very severe COPD.

Indexed as

AgedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungChinaFemaleHealth StatusHumansLungLung NeoplasmsMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexAntineoplastic Agentsfirst-line chemotherapyGOLD gradesurvivaltoxicity

Identifiers

PMID30538442
PMCPMC6254538

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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.