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Record W2076641267 · doi:10.1207/s15328015tlm1401_4

Screening Mammography in Older Women: A Pilot Study of Residents' Decisions

2002· article· en· W2076641267 on OpenAlexaff
Ross Upshur

Bibliographic record

VenueTeaching and Learning in Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMammographyMedicineMammography screeningScreening mammographyFamily medicinePerceptionPsychologyBreast cancer

Abstract

fetched live from OpenAlex

BACKGROUND: Screening mammography is a commonly employed preventive modality. The employment of mammography in older women is not supported by evidence from clinical trials, largely because elderly women were excluded from such trials. Most guidelines do not recommend routine screening in older women. How residents reason in this gray zone has been subject to little empirical study. PURPOSES: This study sought to answer two questions: How variable are residents' decision responses to mammography screening scenarios in older women where there is no clear evidence? What reasons do residents give to justify these decisions? METHODS: Residents were asked to respond to four scenarios and give their screening recommendations and the reasons justifying their decisions. RESULTS: There was considerable variability in resident responses to the four scenarios. Only in one scenario was there near unanimity on the preferred screening decision. Resident perceptions of quality of life, longevity and understanding of the guidelines were cited as justification for their decisions. CONCLUSION: Clinical preceptors should be aware of how the variability of resident perceptions of such factors as quality of life and prognosis may influence decision-making.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.096
GPT teacher head0.357
Teacher spread0.260 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2002
Admission routes1
Has abstractyes

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