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Record W3127104364 · doi:10.1016/s1470-2045(20)30582-9

Fertility preservation for male patients with childhood, adolescent, and young adult cancer: recommendations from the PanCareLIFE Consortium and the International Late Effects of Childhood Cancer Guideline Harmonization Group

2021· review· en· W3127104364 on OpenAlexaff
Renée L. Mulder, Anna Font‐Gonzalez, Daniel M. Green, Erik A. H. Loeffen, Melissa M. Hudson, Jacqueline J. Loonen, Richard N. Yu, Jill P. Ginsberg, Rod T. Mitchell, Julianne Byrne, Roderick Skinner, Antoinette Anazodo, Louis S. Constine, Andrica de Vries, Kirsi Jahnukainen, Armando J. Lorenzo, Andreas Meißner, Leena Nahata, Marij Dinkelman‐Smit, Herman Tournaye, Riccardo Haupt, Marry M. van den Heuvel‐Eibrink, Hanneke M. van Santen, Ans M. M. van Pelt, Uta Dirksen, Jaap den Hartogh, Eline van Dulmen‐den Broeder, William H. Wallace, Jennifer Levine, Wim J. E. Tissing, Leontien C.M. Kremer, Lisa B. Kenney, Marianne D. van de Wetering, Claire Berger, Tamara Diesch, Aleksander Giwercman, Desiree Grabow, Clarisa R. Gracia, Sarah Hunter, Julia Inthorn, Peter Kaatsch, Joanne Frankel Kelvin, James L. Klosky, Joop S.E. Laven, Barbara Lockart, Sebastian JCMM Neggers, Norbert W. Paul, Michelle Peate, Bob Phillips, Gwendolyn P. Quinn, Damon R. Reed, Eva Maria Tinner, M. van den Berg, C.M. Verhaak

Bibliographic record

VenueThe Lancet Oncology · 2021
Typereview
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersMedical Research CouncilEuropean CommissionUniversity of LeedsUK Research and InnovationMemorial Sloan-Kettering Cancer Center
KeywordsFertilityGuidelineMedicineFertility preservationGrading (engineering)HarmonizationFamily medicineCancerPsychological interventionYoung adultGerontologyPediatricsGynecologyPopulationEnvironmental healthNursingPathologyInternal medicine

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.347
Teacher spread0.310 · 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

Labeled directly by 2 models reading the full record.

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

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
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

Citations200
Published2021
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet OncologySame topicReproductive Biology and FertilityFrench-language works237,207