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Record W2009861745 · doi:10.1016/s0212-6567(14)70042-3

Evaluación del paciente y medida de resultados

2014· article· es· W2009861745 on OpenAlex
Enrique Nieto Pol

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueAtención Primaria · 2014
Typearticle
Languagees
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACOsteoarthritisPhysical therapyMedicineQuality of life (healthcare)Clinical PracticeVisual analogue scalePsychological interventionPhysical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

Tanto la valoración inicial como el seguimiento del paciente con artrosis precisan de una evaluación sistematizada de indicadores que informen sobre el grado de afectación de esta y permitan cuantificarla. Objetivar la evolución de la enfermedad facilita la toma de decisiones del clínico y proporciona información válida sobre la respuesta y eficacia de las distintas intervenciones terapéuticas. Los instrumentos recomendados en investigación, como medidas de resultado de la artrosis, son la valoración del dolor, de la capacidad funcional y la evaluación global por parte del enfermo. En estudios de más de 1 año de duración se valoran cambios estructurales mediante radiología simple. También se recomienda, de manera opcional, la valoración de la calidad de vida del paciente y la evaluación global de la enfermedad por parte del médico. Estos indicadores deberían incorporarse a la práctica clínica habitual para una adecuada valoración y un correcto seguimiento del paciente con artrosis. El método de evaluación del dolor recomendado para su uso en la práctica clínica es la escala visual analógica (EVA). El mejor instrumento para la valoración de la capacidad funcional del paciente con artrosis de cadera o rodilla es la escala WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index). Para la evaluación global de la enfermedad por parte del paciente con artrosis, en la práctica habitual, se recomienda el uso de la EVA o el cuestionario de salud SF-12 (12-item short-form health survey). Both the initial evaluation and follow-up of patients with osteoarthritis require systematic evaluation of the indicators that provide information on the degree of involvement of the disease and allow its quantification. Reliable measures of disease progression help decision-making by clinicians and provide valid information on treatment response and the effectiveness of the distinct therapeutic interventions. The instruments recommended in research, as outcome measures in osteoarthritis, are pain evaluation, assessment of physical function, and self-reported global evaluation. In studies lasting more than 1 year, structural changes are evaluated through simple X-ray. Self-reported quality of life assessment and physician global assessment are also recommended as options. These indicators should be incorporated into routine clinical practice for adequate evaluation and correct follow-up of patients with osteoarthritis. The recommended pain evaluation method for use in clinical practice is the visual analog scale (VAS). The best instrument to evaluate physical function in patients with hip or knee osteoarthritis is the WOMAC scale (Western Ontario and McMaster Universities Osteoarthritis Index). For patient-reported global assessment in routine practice, the recommended scales are VAS or the SF-12 (12-item short-form health survey).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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