Evidence map›Paper›PMID 30097854›Full record

ArticleJournal of cancer survivorship : research and practice2018

Comorbid conditions and health-related quality of life in long-term cancer survivors-associations with demographic and medical characteristics.

Heide Götze, Sabine Taubenheim, Andreas Dietz, Florian Lordick, Anja Mehnert

Abstract read
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In one paragraph

Article in Journal of cancer survivorship : research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Quality of life in "chronic" cancer survivors: a meta-analysis.Journal of cancer survivorship : research and practice · 2020
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Anabolics in Cancer Patients: To Use or Not to Use?Endocrinology and metabolism (Seoul, Korea) · 2026
    Review
  6. Article
  7. Article
  8. Quality of life trajectories in breast cancer survivors up to one year after treatment: a prospective study in a lower-middle-income country.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  9. Article
  10. Review
  11. Health-related quality of life in cancer survivors aged 65 and older: impact of diagnosis and treatment and perceived decline associated with aging.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  12. Article
  13. Review
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  18. Article
  19. Employment status among cancer survivors in a Late Effects Clinic in Denmark.Journal of cancer survivorship : research and practice · 2025
    Article
  20. Observational

14 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

5 authors.

Heide GötzeDepartment of Medical Psychology and Medical Sociology, University Medical Center Leipzig, Philipp-Rosenthal-Straße 55, 04103, Leipzig, Germany. heide.goetze@medizin.uni-leipzig.de.ORCID 0000-0003-3056-5822
Sabine TaubenheimLocal Clinical Cancer Registry Leipzig, University Medical Center Leipzig, Leipzig, Germany.
Andreas DietzDepartment of Otolaryngology, Head and Neck Surgery, University Medical Center Leipzig, Leipzig, Germany.
Florian LordickUniversity Cancer Center Leipzig (UCCL), University Medical Center Leipzig, Leipzig, Germany.
Anja MehnertDepartment of Medical Psychology and Medical Sociology, University Medical Center Leipzig, Philipp-Rosenthal-Straße 55, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur study provides a detailed overview of comorbid conditions and health-related quality of life of long-term cancer survivors and analyses the impact of demographic, disease- and treatment-related characteristics.

methodsWe present data obtained from 1000 survivors across mixed tumour entities 5 and 10 years after cancer diagnosis in a cross-sectional study. We analyse the prevalence of physical symptoms and health conditions via self-report and health-related quality of life using the EORTC QLQ-C30 in comparison to gender- and age-matched reference values of the general population.

resultsCancer survivors reported on average 5 comorbidities; 23% had 7 or more comorbid conditions. Cancer survivors reported higher physical symptom burden than the population-especially fatigue, insomnia and pain. Type and prevalence of long-term and late effects differ with disease-related factors (e.g. cancer type, treatment) and characteristics of the patient. Cancer survivors also reported lower quality of life than the population, especially in everyday activities, social life, psychological well-being and financial difficulties. There was a positive association between high quality of life and a low level of morbidity.

conclusionsThe specific knowledge about physical long-term consequences for the individual types of cancer could raise awareness in health care professionals for high-risk patients and help to develop adequate prevention and survivorship-programs. IMPLICATIONS FOR CANCER SURVIVORS: Limitations in the mental health area underlines the importance of psycho-oncological survivorship-care-plans, which go beyond the time of rehabilitation. Special attention should be given to the financial situation of patients in long-term follow-up care.

Indexed as

SurvivorshipAdolescentAdultAgedAged, 80 and overCancer SurvivorsComorbidityCross-Sectional StudiesDemographyDisease ProgressionFemaleHumansMaleMiddle AgedNeoplasmsPrevalenceCancer survivorshipComorbiditiesLong-term effectsQuality of life

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Registered trials

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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.