Evidence map›Paper›PMID 36779863›Full record

SynthesisCancer research2023

A Systematic Review and Multilevel Regression Analysis Reveals the Comorbidity Prevalence in Cancer.

Cilla E J Vrinzen, Linn Delfgou, Niek Stadhouders, Rosella P M G Hermens, Matthias A W Merkx, Haiko J Bloemendal, Patrick P T Jeurissen

Registry-linked trialOpen access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07136727 (The Impact of Multimodal Digital Fusion AI-Assisted Decision Support System-Based Comprehensive Management on Clinical Outcomes in County-Level Patients With Comorbid Cancer), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT07136727 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Impact of Multimodal Digital Fusion AI-Assisted Decision Support System-Based Comprehensive Management on Clinical Outcomes in County-Level Patients With Comorbid Cancer:A Prospective Non-randomized Controlled Interventional Study.

TypeinterventionalSponsorThe First Affiliated Hospital of Xinxiang Medical CollegeRan2025 to 2031Enrolled5,000ConditionsOncological Comorbidities (e. g. Hypertension, Diabetes, Malnutrition)ArmsAI-assisted comprehensive management system
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Combination therapy for high-volumeFrontiers in pharmacology · 2023
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. The Need for a Systems Biology Approach in Cancer Explained.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Cilla E J Vrinzen *Scientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-0317-4458
Linn Delfgou *Scientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-6660-9519
Niek StadhoudersScientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-7296-2335
Rosella P M G HermensScientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0001-7624-7120
Matthias A W MerkxScientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-0687-9760
Haiko J BloemendalDepartment of Medical Oncology, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-8902-4337
Patrick P T JeurissenScientific Institute for Quality of Healthcare, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-4198-2448
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comorbidities can have major implications for cancer care, as they might impact the timing of cancer diagnosis, compromise optimal care, affect treatment outcomes, and increase healthcare costs. Thus, it is important to comprehensively evaluate cancer comorbidities and examine trends over time. Here, we performed a systematic literature review on the prevalence and types of comorbidities for the five most common forms of cancer. Observational studies from Organisation for Economic Co-operation and Development countries published between 1990 and 2020 in English or Dutch that used routinely collected data from a representative population were included. The search yielded 3,070 articles, of which, 161 were eligible for data analyses. Multilevel analyses were performed to evaluate determinants of variation in comorbidity prevalence and trends over time. The weighted average comorbidity prevalence was 33.4%, and comorbidities were the most common in lung cancer (46.7%) and colorectal cancer (40.0%), followed by prostate cancer (28.5%), melanoma cancer (28.3%), and breast cancer (22.4%). The most common types of comorbidities were hypertension (29.7%), pulmonary diseases (15.9%), and diabetes (13.5%). After adjusting for gender, type of comorbidity index, age, data source (patient records vs. claims), and country, a significant increase in comorbidities of 0.54% per year was observed. Overall, a large and increasing proportion of the oncologic population is dealing with comorbidities, which could be used to inform and adapt treatment options to improve health outcomes and reduce healthcare costs. SIGNIFICANCE: Comorbidities are frequent and increasing in patients with cancer, emphasizing the importance of exploring optimal ways for uniform comorbidity registration and incorporating comorbidity management into cancer care.

Indexed as

Lung NeoplasmsComorbidityHumansMaleMultilevel AnalysisPrevalenceRegression Analysis

Identifiers

PMID36779863
PMCPMC10071818
OpenAlexW4320485380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.