Evidence map›Paper›PMID 39096123›Full record

SynthesisCancer medicine2024

Cardiovascular mortality in people with cancer compared to the general population: A systematic review and meta-analysis.

Huah Shin Ng, Rosie Meng, Tania S Marin, Raechel A Damarell, Elizabeth Buckley, Joseph B Selvanayagam, Bogda Koczwara

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. A Systematic Review of Cardiovascular Health Among Cancer Survivors.International journal of environmental research and public health · 2025
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  7. Subsequent malignant neoplasm among cancer survivors in the United States.Journal of cancer survivorship : research and practice · 2026
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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

7 authors.

Huah Shin NgFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0001-8381-5253
Rosie MengFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Tania S MarinFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Raechel A DamarellResearch Centre for Palliative Care, Death and Dying, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
Elizabeth BuckleyFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Joseph B SelvanayagamFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Bogda KoczwaraFlinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-1201-1642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of non-cancer death in cancer survivors, but the risk of CVD varies between cancers.

objectivesTo synthesise available evidence on patterns and magnitude of CVD mortality risk.

methodsA systematic search of Medline (OVID), CINAHL and Scopus databases from 01-January-2000 to 16-July-2023 of studies of people with cancer, reporting CVD mortality in cancer population compared with a reference population (e.g. general population) as standardised mortality ratios (SMR). Meta-analysis of SMRs across cancer and CVD types were pooled using a random-effects model to allow for heterogeneity of the true effect size across studies.

resultsWe identified 136 studies from 16 countries. Sample sizes ranged from 157 to 7,529,481. The majority (n = 98; 72%) were conducted in the United States, followed by Europe (n = 22; 16%). The most common cancers studied were gastrointestinal (n = 34 studies), haematological (n = 31) and breast (n = 29). A total of 876 CVD SMRs were extracted across diverse CVD conditions. Of those, the majority (535; 61%) indicated an increased risk of CVD death (SMR >1), 109 (12%) a lower risk of CVD death (SMR <1) and 232 (27%) an equivalent risk (95% CI of SMR included 1) compared to the general population. The meta-analysis of all reported SMRs showed an increased risk of CVD death (SMR = 1.55, 95% CI = 1.40-1.72) in cancer survivors compared with the general population. The SMR varied between CVD conditions and ranged from 1.36 (95% CI = 1.29-1.44) for heart diseases to 1.56 (95% CI = 1.39-1.76) for cerebrovascular diseases. SMR varied across cancer types, ranging from 1.14 (95% CI = 1.04-1.25) for testicular/germ cell tumours to 2.82 (95% CI = 2.20-3.63) for brain/central nervous system tumours.

conclusionsCancer survivors are at increased risk of premature CVD mortality compared to the general population, but the risk varies by cancer type and CVD. Future research should focus on understanding mechanisms behind the increased CVD risk to develop appropriate interventions.

Indexed as

Cardiovascular DiseasesNeoplasmsCancer SurvivorsFemaleHumansMaleRisk Factorscancercardiovascular diseasemeta‐analysisstandardised mortality ratiossystematic review

Identifiers

PMID39096123
PMCPMC11297437

What OpenQuestion holds

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LicenceCC BY
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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.