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Record W2074247613 · doi:10.1055/s-2001-14448

Leitlinien zur Diagnostik bei Patienten mit Demenz

2001· article· de· W2074247613 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.

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

VenueAktuelle Neurologie · 2001
Typearticle
Languagede
FieldHealth Professions
TopicMedical Practices and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Derzeit existiert kein vollständiges und valides System zur Diagnostik der Demenzen. Die Leitlinien des Berufsverbandes der Allgemeinärzte, der Canadian Medical Association und der European Federation of Medical Societies werden vorgestellt und diskutiert. Während die Feststellung des Vorliegens einer Demenz und die Abgrenzung einer Depression einfach sind, bestehen besondere Probleme in der Differenzialdiagnostik der Demenzen untereinander und in der Frühdiagnostik. Es erscheint erforderlich, die einzelnen Konsenskriterien aufeinander abzustimmen und Kriterien für die Differenzialdiagnose festzulegen. Liquoruntersuchungen und MR-Techniken erlauben in naher Zukunft möglicherweise eine positive Diagnose des M. Alzheimer. Consensus Criteria on Diagnosis in Patients with Dementia At present, there is no valid diagnostic system that can be used for the diagnosis of dementia and its underlying causes. The consensus criteria of the German Association of Medical Practicioners, the Canadian Medical Association and the European Federation of Medical Societies are described. While the detection of the presence of dementia and the differential diagnosis towards depression seem relatively easy, there are considerable difficulties in the differential diagnosis among the dementias and in early diagnosis. It is deemed necessary to relate the various diagnostic consensus criteria towards each other and establish consensus for differential diagnosis. CSF analysis and new MR techniques may allow a positive diagnosis of Alzheimer's disease in the near future.

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)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.011

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 head0.094
GPT teacher head0.409
Teacher spread0.315 · 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