Evidence map›Paper›PMID 33137158›Full record

ArticlePloS one2020

Clinical significance of preoperative inflammatory markers in non-small cell lung cancer patients: A multicenter retrospective study.

Kazuki Takada, Shinkichi Takamori, Taichi Matsubara, Naoki Haratake, Takaki Akamine, Fumihiko Kinoshita, Yuki Ono, Sho Wakasu, Kensuke Tanaka, Yuka Oku and 7 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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

Kazuki TakadaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.ORCID 0000-0001-6377-9291
Shinkichi TakamoriDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan.ORCID 0000-0001-8175-6798
Taichi MatsubaraDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan.
Naoki HaratakeDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan.
Takaki AkamineDepartment of Surgery, Saiseikai Fukuoka General Hospital, Chuo-ku, Fukuoka, Japan.
Fumihiko KinoshitaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Yuki OnoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Sho WakasuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Kensuke TanakaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Yuka OkuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Taro ObaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Atsushi OsoegawaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Tetsuzo TagawaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Mitsuhiro TakenoyamaDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Minami-ku, Fukuoka, Japan.
Mototsugu ShimokawaDepartment of Biostatistics, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan.ORCID 0000-0001-8140-4565
Yoshinao OdaDepartment of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.
Masaki MoriDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory biomarkers have been associated with clinical outcomes in non-small cell lung cancer (NSCLC). However, the best prognostic marker(s) has not been identified, and the association between inflammatory markers and clinical characteristics is poorly understood. We selected 1,237 patients with resected NSCLC from Kyushu University (2003-2015) and Kyushu Cancer Center (2009-2015) in Japan. Pearson product-moment correlation coefficient among inflammatory markers and area under curve (AUC) of receiver operating characteristic (ROC) curve analyses for overall survival (OS) were calculated. We analyzed the associations between inflammatory markers and clinical factors using Student's t-test. Univariate and multivariate analyses with Cox proportional hazards regression analyses were performed to evaluate the relationship between survival and clinical factors. The cut-off values for neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio, and derived NLR (dNLR) were determined by ROC curve analyses for OS. We found a strong positive correlation between NLR and dNLR (r = 0.9629). The AUC of LMR was the highest amongst the measured metrics, and the AUC of NLR was higher than dNLR. Levels of some inflammatory markers were associated with sex, smoking, squamous cell carcinoma, and pathological stage. LMR ≥ 5.11 and lactate dehydrogenase (LDH) concentration ≥ 222 (U/L) were independent predictors of both disease-free survival (DFS) and OS (LMR; P = 0.0009 and 0.0008, LDH; P = 0.0195 and 0.0187, respectively). Certain inflammatory markers, potentially linked to smoking, were associated with an advanced pathological stage in NSCLC. LMR and LDH were independent predictors of both DFS and OS.

Indexed as

PneumonectomyAdultAgedAged, 80 and overBiomarkersBlood Cell CountBlood PlateletsCarcinoma, Non-Small-Cell LungC-Reactive ProteinDisease-Free SurvivalFemaleHumansInflammationJapanL-Lactate DehydrogenaseLung NeoplasmsBiomarkersC-Reactive ProteinL-Lactate DehydrogenaseSerum Albumin, Human

Identifiers

PMID33137158
PMCPMC7605706

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.