Evidence map›Paper›PMID 31745237›Full record

SynthesisMolecular psychiatry2020

Depression and anxiety in relation to cancer incidence and mortality: a systematic review and meta-analysis of cohort studies.

Yun-He Wang, Jin-Qiao Li, Ju-Fang Shi, Jian-Yu Que, Jia-Jia Liu, Julia M Lappin, Janni Leung, Arun V Ravindran, Wan-Qing Chen, You-Lin Qiao and 3 more

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06987708 (Evaluating the Impact of a 12-month Multi-Modal Lifestyle Management Intervention on Disease Relevant Biomarkers Associated With Monoclonal Gammopathy of Unknown Significance), which is not on this map. Cited by 470 papers, 23 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
470citing papers in PubMed, 23 pooled it
20.8field-weighted citation impact, top 1% 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.

NCT06987708 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluating the Impact of a 12-month Multi-Modal Lifestyle Management Intervention on Disease Relevant Biomarkers Associated With Monoclonal Gammopathy of Unknown Significance (MGUS) and Smoldering Myeloma (SM): A Prospective Intervention Pilot Study

TypeinterventionalSponsorHackensack Meridian HealthRan2026 to 2028Enrolled67ConditionsMonoclonal Gammopathy of Uncertain Significance, Smoldering MyelomaArmsThe Multimodal Lifestyle Intervention
3 · Its place in the literature

Who cites it

470 citing papers in PubMed, 23 syntheses or guidelines pooled it, 835 citations in OpenAlex.

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  6. Intensive nursing interventions for post-treatment anxiety and depression in bladder cancer: A systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  10. Bladder cancer risk factors: a comprehensive umbrella review of meta-analyses.International journal of surgery (London, England) · 2026
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410 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 3 countries.

Yun-He WangNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-0923-1441
Jin-Qiao LiNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
Ju-Fang ShiNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jian-Yu QueInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191, China.
Jia-Jia LiuInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191, China.
Julia M LappinNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia.
Janni LeungNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia.
Arun V RavindranDepartment of psychiatry, University of Toronto, Toronto, ON, Canada.
Wan-Qing ChenNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
You-Lin QiaoNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jie ShiNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
Lin LuInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191, China. linlu@bjmu.edu.cn.
Yan-Ping BaoNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China. baoyp@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1881-0939
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNThe University of Queensland · AUUniversity of Toronto · CAUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The link between depression and anxiety status and cancer outcomes has been well-documented but remains unclear. We comprehensively quantified the association between depression and anxiety defined by symptom scales or clinical diagnosis and the risk of cancer incidence, cancer-specific mortality, and all-cause mortality in cancer patients. Pooled estimates of the relative risks (RRs) for cancer incidence and mortality were performed in a meta-analysis by random effects or fixed effects models as appropriate. Associations were tested in subgroups stratified by different study and participant characteristics. Fifty-one eligible cohort studies involving 2,611,907 participants with a mean follow-up period of 10.3 years were identified. Overall, depression and anxiety were associated with a significantly increased risk of cancer incidence (adjusted RR: 1.13, 95% CI: 1.06-1.19), cancer-specific mortality (1.21, 1.16-1.26), and all-cause mortality in cancer patients (1.24, 1.13-1.35). The estimated absolute risk increases (ARIs) associated with depression and anxiety were 34.3 events/100,000 person years (15.8-50.2) for cancer incidence and 28.2 events/100,000 person years (21.5-34.9) for cancer-specific mortality. Subgroup analyses demonstrated that clinically diagnosed depression and anxiety were related to higher cancer incidence, poorer cancer survival, and higher cancer-specific mortality. Psychological distress (symptoms of depression and anxiety) was related to higher cancer-specific mortality and poorer cancer survival but not to increased cancer incidence. Site-specific analyses indicated that overall, depression and anxiety were associated with an increased incidence risks for cancers of the lung, oral cavity, prostate and skin, a higher cancer-specific mortality risk for cancers of the lung, bladder, breast, colorectum, hematopoietic system, kidney and prostate, and an increased all-cause mortality risk in lung cancer patients. These analyses suggest that depression and anxiety may have an etiologic role and prognostic impact on cancer, although there is potential reverse causality; Furthermore, there was substantial heterogeneity among the included studies, and the results should be interpreted with caution. Early detection and effective intervention of depression and anxiety in cancer patients and the general population have public health and clinical importance.

Indexed as

AnxietyCohort StudiesDepressionHumansIncidenceNeoplasms

Identifiers

PMID31745237
OpenAlexW2990323914

What OpenQuestion holds

Textmetadata
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.