Evidence map›Paper›PMID 36827396›Full record

Trial reportPloS one2023

Depression in association with neutrophil-to-lymphocyte, platelet-to-lymphocyte, and advanced lung cancer inflammation index biomarkers predicting lung cancer survival.

Barbara L Andersen, John Myers, Tessa Blevins, Kylie R Park, Rachel M Smith, Sarah Reisinger, David P Carbone, Carolyn J Presley, Peter G Shields, William E Carson

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03199651 (Beating Lung Cancer in Ohio), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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.

NCT03199651 narecruitingnot on this map

Beating Lung Cancer in Ohio (BLCIO) Protocol

TypeinterventionalSponsorOhio State University Comprehensive Cancer CenterRan2017 to 2028Enrolled3,584ConditionsCigarette Smoker, Current Smoker, Lung Adenocarcinoma, Squamous Cell Lung CarcinomaArmsBest Practice, Biospecimen Collection, Laboratory Biomarker Analysis, Medical Chart Review, Quality-of-Life Assessment
3 · Its place in the literature

Who cites it

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

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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

10 authors at 1 institution in 1 country.

Barbara L AndersenDepartment of Psychology, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0002-7335-1325
John MyersDepartment of Biomedical Informatics and Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Tessa BlevinsDepartment of Psychology, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Kylie R ParkDepartment of Psychology, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Rachel M SmithDepartment of Biomedical Informatics and Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Sarah ReisingerDepartment of Internal Medicine, Division of Medical Oncology, College of Medicine, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
David P CarboneDepartment of Internal Medicine, Division of Medical Oncology, College of Medicine, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Carolyn J PresleyDepartment of Internal Medicine, Division of Medical Oncology, College of Medicine, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
Peter G ShieldsDepartment of Internal Medicine, Division of Medical Oncology, College of Medicine, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.
William E CarsonDepartment of Surgery, Division of Surgical Oncology, College of Medicine, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0001-7024-7533
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a product of inflammation and a dysfunctional immune system, and depression has similar dysregulation. Depression disproportionately affects lung cancer patients, having the highest rates of all cancers. Systemic inflammation and depression are both predictive of non-small cell lung cancer (NSCLC) survival, but the existence and extent of any co-occurrence is unknown. Studied is the association between systemic inflammation ratio (SIR) biomarker levels and patients' depressive symptoms, with the hypothesis that depression severity would be significantly associated with prognostically poor inflammation. Newly diagnosed stage-IV non-small cell lung cancer (NSCLC; N = 186) patients were enrolled (ClinicalTrials.gov Identifier: NCT03199651) and blood draws and depression self-reports (Patient Health Questionnaire-9) were obtained. For SIRs, cell counts of neutrophils (N), lymphocytes (L), and platelets (P) were abstracted for ratio (R) calculations for NLR, PLR, and the Advanced Lung cancer Inflammation Index (ALI). Patients were followed and biomarkers were tested as predictors of 2-year overall survival (OS) to confirm their relevance. Next, multivariate linear regressions tested associations of depression with NLR, PLR, and ALI. Overall 2-year mortality was 61% (113/186). Cox model analyses confirmed higher NLR [hazard ratio (HR) = 1.91; p = 0.001] and PLR (HR = 2.08; p<0.001), along with lower ALI (HR = 0.53; p = 0.005), to be predictive of worse OS. Adjusting for covariates, depression was reliably associated with biomarker levels (p ≤ 0.02). Patients with moderate/severe depressive symptoms were 2 to 3 times more likely to have prognostically poor biomarker levels. Novel data show patients' depressive symptoms were reliably associated with lung-relevant systemic inflammation biomarkers, all assessed at diagnosis/pretreatment. The same SIRs were found prognostic for patients' 2-year OS. Intensive study of depression, combined with measures of cell biology and inflammation is needed to extend these findings to discover mechanisms of depression toxicity for NSCLC patients' treatment responses and survival.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkersBlood PlateletsDepressionHumansInflammationLungLymphocytesNeutrophilsPrognosisRetrospective StudiesBiomarkers

Identifiers

PMID36827396
PMCPMC9956881
OpenAlexW4321765739

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.