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Record W1977274174 · doi:10.1002/pon.1764

The Meaning‐Making intervention (MMi) appears to increase meaning in life in advanced ovarian cancer: a randomized controlled pilot study

2010· article· en· W1977274174 on OpenAlexafffund
Mélissa Henry, S. Robin Cohen, Virginia Lee, Philippe Sauthier, Diane Provencher, Pierre Drouin, Philippe Gauthier, Walter H. Gotlieb, Susie Lau, Nancy Drummond, Lucy Gilbert, G. Stanimir, Jeremy Sturgeon, Martin Chasen, Julie A. Mitchell, Lina Huang, Mira‐Klode Ferland, Nancy E. Mayo

Bibliographic record

VenuePsycho-Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité de MontréalMcGill University Health CentreCentre Hospitalier de l’Université de MontréalMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsRandomized controlled trialMeaning (existential)DistressIntervention (counseling)AnxietyQuality of life (healthcare)MedicineOvarian cancerClinical psychologyDepression (economics)CancerPsychologyOncologyPsychotherapistPhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: This pilot study aimed to provide supportive evidence for the acceptability and usefulness of the Meaning-Making intervention (MMi) in patients newly diagnosed with Stage III or IV ovarian cancer, and to provide estimates of parameters needed to design a full-scale study. METHODS: A randomized controlled trial with 24 patients (12 experimental and 12 control) was conducted. Existential well-being (primary outcome), overall quality of life, distress, anxiety, depression and self-efficacy were measured. RESULTS: Compared to the control group, patients in the experimental group had a better sense of meaning in life at one and three months post-intervention. CONCLUSION: The MMi seems a promising intervention for advanced cancer patients, and a full randomized controlled trial is warranted to further investigate its efficacy.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.363
Teacher spread0.342 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations166
Published2010
Admission routes2
Has abstractyes

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