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Concordance between abstracts, virtual meeting (VM) presentations, and final publication of phase III clinical trials presented at the Annual Meeting of the American Society of Clinical Oncology.

2013· article· en· W2601910404 on OpenAlexaff
Suneil Khanna, Matthew Boyko, Daniel Yick Chin Heng, Michael M. Vickers, Vincent C. Tam

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsBaker Hughes (Canada)University of Calgary
Fundersnot available
KeywordsMedicineConcordanceClinical trialPresentation (obstetrics)Clinical OncologyClinical endpointMEDLINEFamily medicineInclusion (mineral)Medical physicsInternal medicineSurgeryPsychologyCancer

Abstract

fetched live from OpenAlex

6622 Background: Phase III clinical trial results described in abstracts in the ASCO Annual Meeting Proceedings often differ from final results seen in publication. We hypothesize that the abstracts may act only as place holders, while the results presented at the ASCO Annual Meeting are more highly concordant with the final publication. Methods: A retrospective review of all abstracts submitted to the ASCO Annual Meeting in 2005 to 2007 was conducted. Inclusion Criteria: randomized, prospective phase III clinical trials of greater than 200 patients with at least one quantitative primary endpoint such as OS or PFS. For each abstract, we viewed the VM presentation and searched Pubmed and Medline for the corresponding publications. Data regarding the clinical trials was extracted from all three sources and statistical comparisons were made. Results: A total of 7,900 abstracts were screened from the ASCO 2005 and 2007 Annual Meetings, of which 124 met the inclusion criteria. An additional 43 studies were excluded due to absence of either a VM presentation or publication. The majority (96%) of these trials were presented as either an oral presentation or poster discussion. Key comparisons of the concordance between the abstract or VM presentation and the final publication are shown in the Table below. Conclusions: While the statistical significance of the primary endpoint and conclusions from all three sources are very similar, the results reported in VM presentations at ASCO Annual Meetings are a better representation of the final publication compared to the abstract. When relying on clinical trial results from these meetings to change clinical practice, physicians should refer to the VM presentation rather than the abstract. [Table: see text]

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)0.182
metaresearch head score (Gemma)0.652
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1820.652
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0330.025
Science and technology studies0.0020.002
Scholarly communication0.0100.005
Open science0.0030.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.003

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 head0.855
GPT teacher head0.689
Teacher spread0.166 · 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.

Study designObservational
DomainReporting
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

Citations1
Published2013
Admission routes1
Has abstractyes

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