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Record W2898746949 · doi:10.1016/j.eururo.2018.10.025

Reasons for Discontinuing Active Surveillance: Assessment of 21 Centres in 12 Countries in the Movember GAP3 Consortium

2018· article· en· W2898746949 on OpenAlexfundno aff
Mieke Van Hemelrijck, Ji Xi, Jozien Helleman, Monique J. Roobol, Wim van der Linden, Daan Nieboer, Chris H. Bangma, Mark Frydenberg, Antti Rannikko, Lui S. Lee, Vincent J. Gnanapragasam, Bruce J. Trock, Behfar Ehdaie, Peter R. Carroll, Christopher P. Filson, Jeri Kim, Christopher J. Logothetis, Todd M. Morgan, Laurence Klotz, Tom Pickles, Eric Hyndman, Caroline M. Moore, Prokar Dasgupta, Arnauld Villers, R. Valdagni, Antoinette S. Perry, Jonas Hugosson, J. Rubio‐Briones, Anders Bjartell, Lukas Hefermehl, Lee Lui Shiong, Yoshiyuki Kakehi, Byung Ha Chung, Theodorus van der Kwast, Henk Obbink, Tim Hulsen, Cees de Jonge, Xinge Ji, Kenneth Muir, Artitaya Lophatananon, Michael Fahey, Ewout W. Steyerberg, Liying Zhang, A. Santa Olalla, Kerri Beckmann, Brian T. Denton, Andrew Hayen, Paul C. Boutros, Wei Guo, Nicole Benfante, Janet E. Cowan, Dattatraya Patil, Emily Tolosa, Tae-Kyung Kim, Alexandre Mamedov, Vincent La Pointe, Trafford Crump, Jenna Kimberly-Duffell, Aida Santaolalla, Jonathan Olivier, T. Rancati, Helén Ahlgren, Juanma Mascarós, Annica Löfgren, Kurt Lehmann, Catherine Han Lin, Hiromi Hirama, Kwang Suk Lee, Guido Jenster, Anssi Auvinen, Masoom A. Haider, Kees van Bochove, Ballentine Carter, Sam Gledhill, Mark Buzza, Sophie Bruinsma

Bibliographic record

VenueEuropean Urology · 2018
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
FundersWinship Cancer InstituteUniversity of Texas MD Anderson Cancer CenterCentre hospitalier régional universitaire de LilleSahlgrenska UniversitetssjukhusetMonash UniversityErasmus Medisch CentrumUniversity College DublinCambridge University HospitalsSkånes universitetssjukhusUniversità degli Studi di MilanoSingapore General HospitalNational Cancer InstituteUniversity of TorontoCleveland ClinicUniversity College LondonYonsei UniversityUniversity of CambridgeBC Cancer AgencyMovember FoundationKing's College London
KeywordsMedicineDiscontinuationWatchful waitingCumulative incidenceIncidence (geometry)Prostate cancerConfidence intervalInternal medicineDemographyPediatricsGynecologyCancer

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.308
Teacher spread0.291 · 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 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

Citations93
Published2018
Admission routes1
Has abstractno

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