Evidence map›Paper›PMID 32959680›Full record

ArticleBiological research for nursing2021

A Longitudinal Analysis of Inflammation and Depression in Patients With Metastatic Lung Cancer: Associations With Survival.

Daniel C McFarland, Andrew H Miller, Christian Nelson

Abstract read
In one paragraph

Article in Biological research for nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

3 authors.

Daniel C McFarland423828Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-5500-1591
Andrew H MillerDepartment of Psychiatry and Behavioral Sciences, 12239Emory University School of Medicine, Atlanta, GA, USA.
Christian Nelson423828Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS L30 CA220778NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundDepression and inflammation are concomitantly elevated in patients with lung cancer and may have collective survival implications. However, the longitudinal relationship between depression and inflammation in patients with metastatic lung cancer is not fully appreciated. We hypothesized that longitudinal changes in inflammation and depression would be concordant; that longitudinally elevated inflammation would lead to greater depression over time; and that depression with inflammation would be more persistent than depression without inflammation.

methodsPatients with metastatic lung cancer (n = 68) were assessed for clinically significant depression (Hospital Anxiety and Depression Scale ≥ 8) and inflammation (C-Reactive Protein ≥ 1 mg/L) along with demographic variables. Survival estimations were made using Cox Proportional Hazard Model and Kaplan-Meier plot analyses.

resultsAt baseline (T1), 15% had depression and 35% had increased inflammation followed by 18% with depression and 38% with increased inflammation 4.7 months later (T2). The odds ratio of depression in the presence of clinically significant inflammation was 4.8 at T1 and 5.3 at T2. Between time points, inflammation difference correlated with depression difference (r = -.26,

conclusionsDepression and inflammation track together over time and have variable implications on survival. Persistent depression is particularly detrimental but incidental inflammation is more sensitive to predicting poor survival. These findings have implications for treating depression early in the lung cancer trajectory.

Indexed as

DepressionLung NeoplasmsHumansInflammationKaplan-Meier EstimateProportional Hazards ModelsC-reactive proteindepressioninflammationlongitudinallung cancerprognosissurvival

Identifiers

PMID32959680
PMCPMC8755948

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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.