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Record W1999808553 · doi:10.1136/ebn.6.3.88

Review: limited evidence exists on the effect of psychological coping styles on cancer survival or recurrence

2003· letter· en· W1999808553 on OpenAlexaff
Denise Bryant‐Lukosius

Bibliographic record

VenueEvidence-Based Nursing · 2003
Typeletter
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMcMaster UniversityHamilton Regional Laboratory Medicine Program
Fundersnot available
KeywordsMedicineCINAHLDenialCoping (psychology)PsycINFOWeb of scienceInternal medicineGynecologyMEDLINEClinical psychologyPsychiatryPsychologyPsychotherapistPsychological interventionMeta-analysis

Abstract

fetched live from OpenAlex

Petticrew M, Bell R, Hunter D. Influence of psychological coping on survival and recurrence in people with cancer: systematic review. BMJ2002 ; 325 : 1066 –9 [OpenUrl][1][Abstract/FREE Full Text][2] QUESTION: In patients with cancer, do psychological coping styles such as fighting spirit, helplessness/hopelessness, denial, and avoidance improve survival or prevent recurrence? Studies up to June 2002 were identified by searching Medline, PsycINFO, ASSIA, EMBASE/Excerpta Medica, Cancerlit, CINAHL, and Dissertation Abstracts. Bibliographies of relevant articles were reviewed, and experts were contacted for unpublished information. Studies published in any language were selected if they were cohort studies, patients had cancer, and outcomes included mortality, survival, or recurrence. Exclusion criteria included studies of the association between coping and immune responses or other biochemical markers (if this was the only outcome reported) and studies … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft.stitle%253DBMJ%26rft.volume%253D325%26rft.issue%253D7372%26rft.spage%253D1066%26rft.epage%253D1066%26rft.atitle%253DEndpiece%253A%2BOnly%2BTen%2BCommandments%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fbmj.325.7372.1066%26rft_id%253Dinfo%253Apmid%252F12424165%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=325/7372/1066&atom=%2Febnurs%2F6%2F3%2F88.atom

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)0.012
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.080
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.007
Bibliometrics0.0090.014
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.197
GPT teacher head0.434
Teacher spread0.237 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2003
Admission routes1
Has abstractyes

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