Evidence map›Paper›PMID 42722747›Full record

ReviewSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Response shift in oncology: fact or myth.

Victoria McCarvell, Emma Wagman, Emma McCurdy-Franks, Hannah Wardill, Saverio Caini, Henry Wong, Amari Randhawa, Edward Chow, Joel Finkelstein

Abstract readReview
In one paragraph

Review in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Victoria McCarvellSchool of Medicine, Trinity College Dublin, Dublin, Ireland.
Emma WagmanCollege of Human Ecology, Cornell University, Ithaca, NY, USA.
Emma McCurdy-FranksDepartment of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Hannah WardillSchool of Pharmacy and Biomedical Science, College of Health, Adelaide University, Adelaide, SA, Australia.
Saverio CainiISPRO - Institute for the Study, Prevention, and Oncological Network, Florence, Italy.
Henry WongDepartment of Oncology, Princess Margaret Hospital, Kowloon West Cluster, Hong Kong SAR, China.
Amari RandhawaDepartment of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Edward ChowDepartment of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Joel FinkelsteinDivision of Orthopedic Surgery, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5, Canada. Joel.Finkelstein@sunnybrook.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatient-reported outcome measures (PROMs) are central to evaluating quality of life (QoL) in cancer care, yet subjective ratings do not always align with objective health status. This review examines response shift-a phenomenon in which individuals' internal standards, values, and conceptualization of QoL change over time-to determine whether response shift in oncology is a myth or fact.

methodsWe reviewed theoretical foundations of response shift including the original model proposed by Sprangers and Schwartz (1999) and cognitive appraisal framework proposed by Rapkin and Schwartz (2004), examining evidence from previously published reviews.

resultsSprangers and Schwartz's model defines three types of response shift: recalibration (changing internal standards), reprioritization (changing values), and reconceptualization (redefining QoL). Response shift has been identified in cancer patients across virtually every major cancer type. Response shift can operate in two directions: individuals with significant illness or disability may report higher QoL than expected (the disability paradox), or genuinely effective interventions may appear less effective because patients' standards or definitions of QoL have changed over time (the Schwartz 1999 paradox). Consequently, response shift may explain null or negative intervention effects despite meaningful clinical improvement. Failure to account for response shift can therefore result in either overestimation or underestimation of true treatment-related change.

conclusionsResponse shift is neither a statistical artifact nor a methodological nuisance but a genuine cognitive process that can distort PROM data in either direction. Incorporating cognitive appraisal and response shift into future PROM design may improve the accuracy and interpretability of patient-reported QoL data in oncology.

Indexed as

NeoplasmsPatient Reported Outcome MeasuresQuality of LifeHealth StatusHumansMedical OncologyArtificial intelligence (AI)Cognitive appraisalOncologyPatient-reported outcome measures (PROMs)Quality of life (QoL)Response shift

Identifiers

PMID42722747
PMCPMC13562320

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.