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Record W2774464097 · doi:10.1136/gutjnl-2017-315333

Critical research gaps and recommendations to inform research prioritisation for more effective prevention and improved outcomes in colorectal cancer

2017· review· en· W2774464097 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGut · 2017
Typereview
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilQueen's UniversityMedical Research CouncilPublic Health AgencyCancer Research UKAcademy of Medical SciencesQueen's University BelfastNational Centre for the Replacement, Refinement and Reduction of Animals in ResearchNational Institute for Health and Care ResearchWellcome TrustFrancis Crick InstituteBowel Cancer UK
KeywordsColorectal cancerMedicineMEDLINEIntensive care medicineCancerFamily medicineInternal medicinePolitical science

Abstract

fetched live from OpenAlex

Objective Colorectal cancer (CRC) leads to significant morbidity/mortality worldwide. Defining critical research gaps (RG), their prioritisation and resolution, could improve patient outcomes. Design RG analysis was conducted by a multidisciplinary panel of patients, clinicians and researchers (n=71). Eight working groups (WG) were constituted: discovery science; risk; prevention; early diagnosis and screening; pathology; curative treatment; stage IV disease; and living with and beyond CRC. A series of discussions led to development of draft papers by each WG, which were evaluated by a 20-strong patient panel. A final list of RGs and research recommendations (RR) was endorsed by all participants. Results Fifteen critical RGs are summarised below: RG1 : Lack of realistic models that recapitulate tumour/tumour micro/macroenvironment; RG2 : Insufficient evidence on precise contributions of genetic/environmental/lifestyle factors to CRC risk; RG3 : Pressing need for prevention trials; RG4 : Lack of integration of different prevention approaches; RG5 : Lack of optimal strategies for CRC screening; RG6 : Lack of effective triage systems for invasive investigations; RG7 : Imprecise pathological assessment of CRC; RG8 : Lack of qualified personnel in genomics, data sciences and digital pathology; RG9 : Inadequate assessment/communication of risk, benefit and uncertainty of treatment choices; RG10 : Need for novel technologies/interventions to improve curative outcomes; RG11 : Lack of approaches that recognise molecular interplay between metastasising tumours and their microenvironment; RG12 : Lack of reliable biomarkers to guide stage IV treatment; RG13 : Need to increase understanding of health related quality of life (HRQOL) and promote residual symptom resolution; RG14 : Lack of coordination of CRC research/funding; RG15 : Lack of effective communication between relevant stakeholders. Conclusion Prioritising research activity and funding could have a significant impact on reducing CRC disease burden over the next 5 years.

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.

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)0.011
metaresearch head score (Gemma)0.211
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.211
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.527
GPT teacher head0.693
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