Evidence map›Paper›PMID 30977049›Full record

ArticleJournal of gastrointestinal cancer2020

Mapping EORTC-QLQ-C30 and QLQ-CR29 onto EQ-5D-5L in Colorectal Cancer Patients.

Hosein Ameri, Mahmood Yousefi, Mehdi Yaseri, Azin Nahvijou, Mohammad Arab, Ali Akbari Sari

Abstract read
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In one paragraph

Article in Journal of gastrointestinal cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
17.0field-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.

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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Mapping EORTC-QLQ-C30 scores to EQ-5D-5L utility values for gynecological cancer survivors in follow-up care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Development of mapping algorithms for gastric cancer: translating EORTC QLQ-C30 and QLQ-STO22 to EQ-5D-5L health utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Article
  6. [Health-related quality of life in Mexican women with obesity].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Observational
  7. Article
  8. Article
  9. Mapping EORTC-QLQ-C30 onto EQ-5D-5L Index in Indonesian Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
  10. Heart failure: a prevalence-based and model-based cost analysis.Frontiers in cardiovascular medicine · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  15. Article
  16. Health-Related Quality of Life and its Associated Factors in COVID-19 Patients.Osong public health and research perspectives · 2020
    Article
  17. Article
  18. Interim value set for the EQ-5D-5L in Iran using the Crosswalk method.Medical journal of the Islamic Republic of Iran · 2020
    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

6 authors at 2 institutions in 1 country.

Hosein AmeriDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mahmood YousefiIranian Center of Excellence in Health Management, School of Management and Medical Informatics, Health Economics Department, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi YaseriDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Azin NahvijouDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad ArabDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ali Akbari SariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. akbarisari@tums.ac.ir.
Tehran University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

College of Agriculture Natural Resources, University of Tehran (IR) 240/1938
6 · The paper itself

Abstract

purposePatient-level utility data are needed for cost-utility analysis; in oncology, however, the data are commonly gathered using disease-specific questionnaires that are often not appropriate. Present study aimed to derive an algorithm which can map the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) scales and the Colorectal Cancer-Specific Quality Of Life Questionnaire (QLQ-CR29) scales onto the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) values in patients with colorectal cancer (CRC).

methodsUsing the Ordinary Least Square (OLS) model, a cross-sectional dataset of 252 patients with CRC were gathered from three academic centers of cancer treatment in Tehran in 2017. The predicted R

resultsAccording to the results of our study, the model C4 from EORTC QLQ-C30 was the best predictive model (Pred R

conclusionsThe mapping algorithm successfully mapped the EORTC QLQ-C30 and QLQ-CR29 scales onto the EQ-5D-5L values; therefore, it enables policymakers to convert cancer-specific questionnaires scores to the preference-based scores.

Indexed as

Colorectal NeoplasmsFemaleHumansMaleMiddle AgedQuality of LifeColorectal cancerEORTC QLQ-C30EQ-5D-5LMappingQLQ-CR29Quality of life

Identifiers

PMID30977049
OpenAlexW2937658000

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.