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Record W4403122194 · doi:10.1016/j.lanhl.2024.100644

Defining the role and reach of a geriatrician

2024· review· en· W4403122194 on OpenAlexaff
Matteo Cesari, Jotheeswaran Amuthavalli Thiyagarajan, Antonio Cherubini, Miguel Angel Acanfora, Prasert Assantachai, Mario Barbagallo, Mamadou Coume, Theresa Diaz, Nicholas R. Fuggle, Sonia Ouali Hammami, Kenneth Madden, Radmila Matijević, Jean‐Pierre Michel, Mirko Petrović, Cornel Sieber, Nicola Veronese, Finbarr C. Martin, Anshu Banerjee, John W. Rowe

Bibliographic record

VenueThe Lancet Healthy Longevity · 2024
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilWorld Health Organization
KeywordsPsychologyComputer science

Abstract

fetched live from OpenAlex

Population ageing is a global occurrence. Unfortunately, the shortage of health professionals with geriatric competencies is a major factor restricting high-quality care for older people worldwide. Strengthening the knowledge and skills of the health workforce to better respond to the needs of older people is a major global priority. Geriatricians can play a pivotal role in reorienting care for older people towards an integrated and person-centred care system focused on functional ability, preventive strategies, and age-friendly services. The current scenario requires efforts to be directed towards establishing a standardised competency-based definition of a geriatrician to allow for an accurate estimation of the existing workforce with adequate training in geriatrics as crucial resources to facilitate the paradigm shift. This Personal View, supported by the International Association of Gerontology and Geriatrics and the European Geriatric Medicine Society, proposes a standardised definition of a geriatrician based on expected competencies and roles and a precise description of the essential features of geriatric medicine. By reducing ambiguities and offering a competency-based framework, the current standardisation approach is expected to facilitate better support, monitoring, and allocation of resources for improving care for older people worldwide.

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)0.007
metaresearch head score (Gemma)0.012
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 score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.387
Teacher spread0.327 · 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 designNot applicable
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

Citations25
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Healthy LongevitySame topicFrailty in Older AdultsFrench-language works237,207