Evidence mapPaperPMID 39528812Full record

ArticleScientific reports2024

Association between depression and liver function biomarkers among US cancer survivors in NHANES 2005-2020.

Yanlong Li, Zhikang Ye, Xingyu Ran, Jintian Luo, Hui Li, Peng Zhou, Si Shen, Jing Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

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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.

Yanlong LiThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Zhikang YeThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Xingyu RanThe Second Clinical College, Heilongjiang University of Chinese Medicine, Harbin, 150000, China.
Jintian LuoThe Second Clinical College, Heilongjiang University of Chinese Medicine, Harbin, 150000, China.
Hui LiThe Second Clinical College, Heilongjiang University of Chinese Medicine, Harbin, 150000, China.
Peng ZhouThe Second Clinical College, Heilongjiang University of Chinese Medicine, Harbin, 150000, China.
Si ShenHeilongjiang Academy of Chinese Medical Sciences, Harbin, 150000, China.
Jing LiIntegrative Cancer Centre, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China. 3486686259@qq.com.

Funding

Guangdong Provincial Basic and Applied Basic Research Foundation 2021A1515110718Guangdong Provincial Medical Science and Technology Research Foundation A2022179National Natural Science Foundation of China 82305385
6 · The paper itself

Abstract

Depression frequently comorbidities with cancer, adversely affecting survivors' quality of life. Liver dysfunction is also prevalent among cancer survivors. However, the association between these two conditions remains unclear. This study aimed to explore the relationship between depression and liver function biomarkers in US cancer survivors. A cross-sectional study was conducted utilizing data from the National Health and Nutrition Examination Survey (NHANES) 2005-2020. Cancer survivors were screened and depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), and 18 liver function biomarkers were included. Survey-weighted generalized linear models with multiple covariables adjusted were employed to examine the associations between depression and liver function biomarkers. A total of 4118 cancer survivors were included, representing a weighted population of 21 501 237. After adjusted with age, gender, race, marital status, education level, family income-to-poverty ratio, and number of cancer types, 8 biomarkers demonstrated positive correlations with depression in cancer survivors, included alanine aminotransferase (ALT, OR = 1.007, 95% CI: 1.000 to 1.013), alkaline phosphatase (ALP, 1.006 [1.002, 1.010]), gamma glutamyl transferase (GGT, 1.004 [1.001, 1.007]), lactate dehydrogenase (LDH, 1.004 [1.000, 1.009]), total protein (TP, 1.040 [1.009, 1.072]), globulin (GLB, 1.060 [1.030, 1.091]), total cholesterol (TC) to high-density lipoprotein cholesterol (HDL-C) ratio (1.162 [1.050, 1.286]), and low-density lipoprotein cholesterol (LDL-C) to HDL-C ratio (1.243 [1.012, 1.526]); while 4 other biomarkers exhibited negative correlations, included HDL-C (0.988 [0.980, 0.997]), total bilirubin (TBi, 0.501 [0.284, 0.883]), aspartate aminotransferase (AST) to ALT ratio (0.588 [0.351, 0.986]), albumin (ALB) to GLB ratio (0.384 [0.229, 0.642]). Following sensitivity analysis, 5 biomarkers included LDH, HDL-C, TBi, AST/ALT and LDL-C/HDL-C lost their statistical significance for the association. This study identified certain associations between 7 liver function biomarkers and depression in US cancer survivors. Further research, particularly prospective longitudinal studies, is warranted to elucidate the causal relationships and explore the potential of improving liver function for the management of depression in cancer patients.

Indexed as

BiomarkersCancer SurvivorsDepressionNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansLiverLiver Function TestsMaleMiddle AgedNeoplasmsUnited StatesBiomarkersCancer survivorCross-sectional studyDepressionLiver function biomarkerNHANESPsycho-oncology

Identifiers

PMID39528812
PMCPMC11555283

What Socratic holds

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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 Socratic graph.