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Record W3119508678 · doi:10.1093/ajcn/nqab003

Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study

2021· article· en· W3119508678 on OpenAlexaff
Konstantinos K. Tsilidis, Nikos Papadimitriou, Niki Dimou, Dipender Gill, Sarah J. Lewis, Richard M. Martin, Neil Murphy, Georgios Markozannes, Verena Zuber, Amanda J. Cross, Kimberley Burrows, David S. López, Timothy J. Key, Ruth C. Travis, Aurora Perez‐Cornago, David J. Hunter, Fränzel JB van Duijnhoven, Demetrius Albanes, Volker Arndt, Sonja I. Berndt, Stéphane Bezieau, D. Timothy Bishop, Juergen Boehm, Hermann Brenner, Andrea N. Burnett‐Hartman, Peter T. Campbell, Graham Casey, Sergi Castellvı́-Bel, Andrew T. Chan, Jenny Chang-Claude, Albert de la Chapelle, Jane C. Figueiredo, Steven Gallinger, Graham G. Giles, Phyllis J. Goodman, Andrea Gsur, Jochen Hampe, Heather Hampel, Michael Hoffmeister, Mark A. Jenkins, Temitope O. Keku, Sun‐Seog Kweon, Susanna C. Larsson, Loı̈c Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Vicente Martín, Roger L. Milne, Vı́ctor Moreno, Hongmei Nan, Rami Nassir, Polly A. Newcomb, Kenneth Offit, Paul D.P. Pharoah, Elizabeth A. Platz, John D. Potter, Lihong Qi, Gad Rennert, Lori C. Sakoda, Clemens Schafmayer, Martha L. Slattery, Linda Snetselaar, Jeanette Schenk, Stephen N. Thibodeau, Cornelia M. Ulrich, Bethany Van Guelpen, Sophia Harlid, Kala Visvanathan, Ludmila Vodičková, Hansong Wang, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Wei Zheng, Bas Bueno-de-Mesquita, Marie‐Christine Boutron‐Ruault, David J. Hughes, Paula Jakszyn, Tilman Kühn, Domenico Palli, Elio Ríboli, Edward L. Giovannucci, Barbara L. Banbury, Stephen B. Gruber, Ulrike Peters, Marc J. Gunter

Bibliographic record

VenueAmerican Journal of Clinical Nutrition · 2021
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsMemorial University of NewfoundlandLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
FundersCancer Research UKNational Cancer InstituteMedical Research CouncilNational Institute of Environmental Health SciencesNational Institute for Health and Care ResearchWorld Health Organization
KeywordsMendelian randomizationColorectal cancerMedicineMicronutrientInternal medicineCancerRandomized controlled trialOncologyBreast cancerRelative riskVitamin D and neurologyGastroenterologyPhysiologyConfidence intervalBiologyGeneticsPathologyGenotype

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 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)0.002
metaresearch head score (Gemma)0.002
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 score0.026
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.365
Teacher spread0.339 · 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

Citations52
Published2021
Admission routes1
Has abstractno

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