MétaCan
Menu
Back to cohort
Record W2413057599 · doi:10.17305/bjbms.2006.3147

The Effects of Combined Insulin and Metformin Therapy in Obese Patients with Diabetes Mellitus Type 2 in the Early Stage of the Disease

2008· article· en· W2413057599 on OpenAlexaffabout
Emela Mujić-Skikić, Suad Trebinjac, Dijana Avdić, Amra Džumhur-Sarić

Bibliographic record

VenueBiomolecules and Biomedicine · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineMetforminType 2 diabetesInsulinInternal medicineDiabetes mellitusEndocrinologyGlucose homeostasisCombination therapyInsulin resistanceGastroenterology

Abstract

fetched live from OpenAlex

In General Hospital setting, where varieties of patients are included in neurorehabilitation process, set of multidisciplinary functional tests were established, as a routine in daily work. Tests were done by physiotherapists and occupational therapists who were members of rehabilitation team. Our aim was to select the tests which can be used as a routine and are applicable for different neurological impairments in daily work. Tests were applied to inpatients admitted to the Medical, Trauma, Neurology and Neurosurgery wards in the Rashid Hospital, DOHMS, Dubai. Fifty inpatients with different neurological impairments admitted to totally 8 wards, were tested in the beginning of rehabilitation process and on discharge from the hospital. Nine tests were used as standardized tests for measuring motor, cognitive, focal impairment, ADL activities and disability: Motricity Index, Trunk Control Test, Standing Balance score, Functional Ambulation Categories test, Mini Mental State Examination, Canadian Neurological Scale, Action Research Arm test, Bartel Index and Functional Independent Measurements. FIM, Motricity Index and Trunk Control Test were applicable for all tested patients, with required adaptation for different neurological conditions within the same score. Other tests were not applicable for all patients as routine, but there were very useful for certain number of patients as a measurement of functional improvement. It is very important to have proper setup of tests, which are simple, reliable and valid for measuring impairment, disability and handicap and which can be used as standardized part of assessment protocol. Also, they must be applicable for different neurological impairments to monitor treatment progress. Combination of tests performed by different professionals and comprehensive approach of all team members is very important for measuring outcomes in rehabilitation and evaluating patient's impairment and disability. Proper hospital setup, optimal number of staff, good communication and team work are leading to better outcome in neurorehabilitation process.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.205
Teacher spread0.201 · 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 designNon-randomized trial
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

Citations0
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueBiomolecules and BiomedicineSame topicMetabolism, Diabetes, and CancerFrench-language works237,207