Evidence map›Paper›PMID 31261584›Full record

ArticleMedicine2019

C-reactive protein is a significant predictor of improved survival in patients with advanced non-small cell lung cancer.

Xiaoguang Xiao, Shujing Wang, Guoxian Long

Abstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. RedefiningFrontiers in microbiology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  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

3 authors.

Xiaoguang XiaoDepartment of Oncology, Tongji hospital, Tongji Medical college of Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Shujing Wang
Guoxian Long

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study tries to evaluate the associations between circulating C-reactive protein (CRP) and the overall survival of patients with non-small cell lung cancer (NSCLC).One hundred ninety-two patients with advanced NSCLC who treated with chemotherapy were enrolled in this study. The cut-off value of CRP concentration was 5.0 mg/L. The patients were divided into low, intermediate and high 3 groups respectively according to the baseline level of CRP before the treatment. Kaplan-Meier analysis and Cox proportional-hazard models were used to evaluate the relationship between the CRP and overall survival time of patients.After adjusting for age, gender, smoking history, pathologic type, CRP was a significant independent impact which predicts the survival prognosis of patients with NSCLC. For all patients, the hazard ratio with high CRP levels for NSCLC-specific survival was 1.83 [95%confidenceinterval (CI) = 0.96, 3.48] compared with low CRP levels. The level of CRP was significantly correlated with survival time (hazard ratio = 1.77; 95% CI = 0.73, 4.26) for the patient with first-line chemotherapy. Patients with high level of circulating CRP also responded poorly to chemotherapy.A high level of circulating CRP was associated with a poor response and worse survival in patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungC-Reactive ProteinFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPredictive Value of TestsPrognosisRetrospective StudiesSurvival RateC-Reactive Protein

Identifiers

PMID31261584
PMCPMC6616372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.