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Record W6902197144 · doi:10.6084/m9.figshare.11778267

Metadata supporting data files in the published article: The LISA randomized trial of a weight loss intervention in postmenopausal breast cancer

2020· other· en· W6902197144 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWeight lossRandomized controlled trialInformed consentBreast cancerIntervention (counseling)Research ethicsClinical trialMetadata

Abstract

fetched live from OpenAlex

Obesity has been associated with poor breast cancer (BC) outcomes. In this study, the authors investigated whether a standardized, telephone-based weight loss lifestyle intervention in the adjuvant setting would impact breast cancer outcomes.<br><b>Data access</b>: Dataset <b>LISA.XPT</b> generated during the study, supports figures 2 and 3, and tables 1 and 2 of the published article. This dataset is not publicly available in order to protect patient privacy, but can be made available on request from the Director of the Ontario Clinical Ontology Group (OCOG), Dr. Mark Levine, email address: <b>mlevine@mcmaster.ca</b>. Please refer to the document “<b>Policy-RES-005_2019Oct18_DataSharingStatement (1).pdf</b>” for a full list of conditions for data access. Authors have confirmed that no exemptions apply to this statement. <br><b>Study approval, patient consent and clinical trial identifier:</b> All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee; the primary ethics committee was the Ontario Cancer Research Ethics Board with oversight by the Principal Investigator (PG) at Mount Sinai Hospital, Toronto. Informed consent was obtained from all individual participants included in the study. The ClinicalTrials.gov Identifier is NCT00463489.<br><b>Study aims and methodology</b>: The LISA trial was designed as a definitive Phase III adjuvant trial testing the effect of a lifestyle-based weight loss intervention on disease-free survival (DFS) and overall survival (OS).In this multicenter trial, women were randomized 1:1 to mail-based educationalmaterial alone (control) or combined with a standardized, telephone-based lifestyle intervention that focused on diet, physical activity and behavior, and involved 19 calls over 2 years to achieve up to 10% weight loss. 338 (of 2150 planned) T1-3, N0-3, M0 hormone receptor positive BC patients with body mass index (BMI) ≥24 kg/m<sup>2</sup> receiving adjuvant letrozole were randomized (enrolment ended due to funding loss). The primary outcome was Disease-Free Survival (DFS); secondary outcome was Overall Survival (OS). At 8 years’ median follow-up, in a planned analysis, DFS and OS were compared using the Kaplan-Meier method.<br><b>Data supporting the figures and tables in the published article</b>: Dataset <b>LISA.XPT</b> is a .<b>SAS transport file</b>, and supports figures 2 and 3, and tables 1 and 2 of the published article. The dataset includes disease-free survival, hazard ratios (HRs) for Disease-Free Survival (DFS) and Overall Survival (OS), baseline characteristics of the LISA study population, weight measurements at study entry (baseline), and change in weight during the subsequent 96 months, in patients enrolled onto the Lifestyle Intervention Arm and Education Only Arm.<br><b>Software needed to access data</b>: The SAS software is required to access the LISA.XPT dataset. <br>

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.4980.001

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 head0.061
GPT teacher head0.341
Teacher spread0.281 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2020
Admission routes1
Has abstractyes

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