Evidence map›Paper›PMID 31896943›Full record

Observational studyCurrent oncology (Toronto, Ont.)2019

Combined cancer patient-reported symptom and health utility tool for routine clinical implementation: a real-world comparison of the ESAS and EQ-5D in multiple cancer sites.

M Moskovitz, K Jao, J Su, M C Brown, H Naik, L Eng, T Wang, J Kuo, Y Leung, W Xu and 7 more

Abstract readObservational Study
In one paragraph

Observational study in Current oncology (Toronto, Ont.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Mapping the Edmonton Symptom Assessment System-Revised: Renal to the EQ-5D-5L in patients with chronic kidney disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prediction of breast cancer-related outcomes with the Edmonton Symptom Assessment Scale: A literature review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Review
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

17 authors.

M MoskovitzMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
K JaoMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
J SuDepartment of Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
M C BrownMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
H NaikMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
L EngMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
T WangMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
J KuoMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
Y LeungSupportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
W XuDepartment of Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
N MittmannCancer Care Ontario, Toronto, ON.
L MoodyCancer Care Ontario, Toronto, ON.
L BarberaCancer Care Ontario, Toronto, ON.
G DevinsSupportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
M LiSupportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
D HowellSupportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
G LiuMedical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We assessed whether the presence and severity of common cancer symptoms are associated with the health utility score (hus) generated from the EQ-5D (EuroQol Research Foundation, Rotterdam, Netherlands) in patients with cancer and evaluated whether it is possible pragmatically to integrate routine hus and symptom evaluation in our cancer population. Methods: Adult outpatients at Princess Margaret Cancer Centre with any cancer were surveyed cross-sectionally using the Edmonton Symptom Assessment System (esas) and the EQ-5D-3L, and results were compared using Spearman correlation coefficients and regression analyses. Results: Of 764 patients analyzed, 27% had incurable disease. We observed mild-to-moderate correlations between each esas symptom score and the hus (Spearman coefficients: -0.204 to -0.416; Conclusions: The hus derived from the EQ-5D-3L is associated with all major cancer symptoms as captured by the esas. The esas scores alone could not predict EQ-5D scores with high accuracy. However, esas-derived questions assessing the same domains as the EQ-5D-3L questions could be mapped to their corresponding EQ-5D questions to generate the hus, with high correlation to the directly measured hus. That finding suggests a potential approach to integrating routine symptom and hus evaluations after confirmatory studies.

Indexed as

NeoplasmsQuality of LifeSymptom AssessmentAdolescentAdultAgedAged, 80 and overAnxietyDepressionFatigueFemaleHumansMaleMiddle AgedPainPatient Reported Outcome Measurespatient-reported outcomesValue in cancer care

Identifiers

PMID31896943
PMCPMC6927786

What OpenQuestion holds

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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.