Evidence map›Paper›PMID 33177603›Full record

ArticleScientific reports2020

A comparison of inflammation markers for predicting oncological outcomes after surgical resection of non-small-cell lung cancer: a validated analysis of 2,066 patients.

Hsiang-Ling Wu, Yu-Ming Wu, Jui-Tai Chen, Kuang-Yi Chang, Yih-Giun Cherng, Shih-Pin Lin, Mei-Yung Tsou, Ying-Hsuan Tai

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

16 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors at 4 institutions in 1 country.

Hsiang-Ling WuDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu-Ming WuDepartment of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, No.291, Zhongzheng Rd., Zhonghe District, New Taipei City, 23561, Taiwan.
Jui-Tai ChenDepartment of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, No.291, Zhongzheng Rd., Zhonghe District, New Taipei City, 23561, Taiwan.
Kuang-Yi ChangDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Yih-Giun CherngDepartment of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, No.291, Zhongzheng Rd., Zhonghe District, New Taipei City, 23561, Taiwan.
Shih-Pin LinDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Mei-Yung TsouDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Ying-Hsuan TaiDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan. tp16960@gmail.com.
Taipei Medical University-Shuang Ho Hospital · TWNational Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical and pathological predictors have proved to be insufficient in identifying high-risk patients who develop cancer recurrence after tumour resection. We aimed to compare the prognostic ability of various inflammation markers in patients undergoing surgical resection of lung cancer. We consecutively included 2,066 patients with stage I-III non-small-cell lung cancer undergoing surgical resection at the center between 2005 and 2015. We evaluated prognostic nutritional index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio along with their perioperative changes. We conducted stepwise backward variable elimination and internal validation to compare the selected markers' predictive performance for postoperative recurrence-free survival and overall survival. Preoperative neutrophil-to-lymphocyte ratio independently predicts recurrence-free survival (HR: 1.267, 95% CI 1.064-1.509, p = 0.0079, on base-2 logarithmic scale) and overall survival (HR: 1.357, 95% CI 1.070-1.721, p = 0.0117, on base-2 logarithmic scale). The cut-off value is 2.3 for predicting both recurrence (sensitivity: 46.1% and specificity: 66.7%) and mortality (sensitivity: 84.2% and specificity: 40.4%). Advanced cancer stage, poor tumour differentiation, and presence of perineural infiltration were significantly correlated with higher preoperative neutrophil-to-lymphocyte ratio. We concluded that preoperative neutrophil-to-lymphocyte ratio is superior to prognostic nutritional index and platelet-to-lymphocyte ratio in predicting postoperative recurrence and mortality of patients undergoing surgical resection of non-small-cell lung cancer.

Indexed as

Blood Cell CountAgedBiomarkersCarcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalPostoperative CarePreoperative PeriodPrognosisUrachal CystBiomarkers

Identifiers

PMID33177603
PMCPMC7658207
OpenAlexW3103385468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.