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Development and validation of a disease-specific quality of life questionnaire (EQOL) for potentially curable patients with carcinoma of the esophagus

2007· article· en· W2092327092 on OpenAlexafffundabout
Joanne Clifton, Richard J. Finley, Gary Gelfand, Andrew J. Graham, Richard Inculet, R Malthaner, Lawrence Tan, JungHa Lim, Joel Singer, Chris Y. Lovato

Bibliographic record

VenueDiseases of the Esophagus · 2007
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsBC Cancer AgencyUniversity of ManitobaWestern UniversityUniversity of CalgaryUniversity of British Columbia
FundersNational Cancer InstituteBritish Columbia Lung Association
KeywordsMedicineEsophagusQuality of life (healthcare)CarcinomaDiseaseSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

The objective was to develop, pretest and validate a disease-specific quality of life questionnaire for potentially curable patients with esophageal carcinoma, for use with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) in order to assess the quality of life associated with the various treatment modalities available for this disease. Questionnaire development phase Patients were enrolled in three centres. Literature reviews, patients, family members, and health care professionals generated 195 items: symptoms (55); emotions (53); physical functioning (17); activities of daily living (ADL) (48); and leisure/social (22). Thirty-eight patients identified items of importance and assigned importance ratings on a 5-point Likert scale. Impact scores were calculated as frequency times mean item importance. Item impact scores<20/100 were excluded. Pearson's correlation co-efficients compared domains with the Medical Outcomes Study SF-20 (MOS SF-20). Fifteen items remained. Questionnaire validation phase EORTC QLQ-C30, Esophageal Quality of Life Questionnaire (EQOL), MOS SF-36 and a Global Rating of Change Questionnaire were completed at baseline, 1 week after baseline but prior to any treatment, 1 month, 3 months, and 6 months after treatment began. Reliability was assessed using paired samples correlations. Responsiveness was assessed between mean scores of changed and unchanged patients, and a responsiveness index was calculated. The MOS SF-36 was used for criterion validity. Construct validity included four a priori predictions. Sixty-five patients were enrolled in four centres in the validation phase. Paired samples correlations were high for all domains (0.749-0.889) indicating good reliability. Symptom, physical function and social domains were responsive to change at all time intervals (P<0.05). Emotional function was responsive at 1 and 3 months, activities of daily living (ADLs) at 1 and 6 months. Magnitude of change was significant when direction of change was stated. Between better and worse, magnitude of change was significant in all domains except at 6 months in symptoms, emotional and physical domains. The minimal clinically important difference was consistently around 0.5 for all domains. Minimal, moderate and large effect ranges were established. Only 2/16 time intervals had poor correlations with the SF-36, establishing criterion validity. Of the four a priori predictions for construct validity, only the second part of one prediction, in the emotional function domain, was not confirmed. We have developed a 15-item questionnaire (EQOL) which has good reliability, responsiveness and validity and is now in use in studies in Canadian centres with the EORTC QLQ-C30.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.285
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2007
Admission routes3
Has abstractyes

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