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Record W2348857910

Evaluation on the Value of the Clinical Diagnosis Methods for Diabetic Peripheral Neuropathy

2013· article· en· W2348857910 on OpenAlexaboutno aff
Weikun Li

Bibliographic record

VenueHebei yixue · 2013
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeripheral neuropathyYouden's J statisticNerve conductionInternal medicineDiabetes mellitusDiabetic neuropathyReceiver operating characteristicClinical diagnosisPediatrics
DOInot available

Abstract

fetched live from OpenAlex

Objective: To assess the efficacy of Toronto clinical scoring system(TCSS),Michigan neuropathy screening instrument(MNSI) and neuropathy symptom score/neuropathy disability score(NSS/NDS) in the diagnosis of diabetic peripheral neuropathy.Method: Using the results of the specificity,sensitivity,Youden index,value of Kappar,the ROC curve and accuracy of the examinations were analyzed.Results: TCSS or MNSI had a higher consistency with the nerve conduction velocity examination(P0.05)than NSS/NDS(P0.01).TCSS or MNSI had a higher accuracy(Az=0.829 or 0.793),but NSS/NDS had a lower accuracy(Az=0.563).NSS/NDS does not apply to clinical DPN screening and diagnosis,MNSI suitable for outpatient service inspection,TCSS suitable for hospitalized patients.

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 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)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.303
GPT teacher head0.565
Teacher spread0.263 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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