MétaCan
Menu
Back to cohort
Record W3197875035 · doi:10.1093/brain/awab330

Progression and regression of nerve fibre pathology and dysfunction early in diabetes over 5 years

2021· article· en· W3197875035 on OpenAlexaboutno aff
Dan Ziegler, Gidon J. Bönhof, Alexander Strom, Klaus Straßburger, Yanislava Karusheva, Julia Szendroedi, Michael Roden

Bibliographic record

VenueBrain · 2021
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
FundersDeutsches Zentrum für DiabetesforschungCalifornia Department of Fish and GameSchmutzler StiftungEurostarsBundesministerium für Bildung und ForschungBundesministerium für GesundheitEuropean Regional Development FundDeutsche Forschungsgemeinschaft
KeywordsMedicineType 2 diabetesDiabetes mellitusPolyneuropathyType 1 diabetesNerve conductionInternal medicineDiabetic neuropathyNerve fibreCohortNerve conduction velocityPeripheral neuropathyPathologyGastroenterologyEndocrinologyAnatomy

Abstract

fetched live from OpenAlex

It has traditionally been suggested that the early development of diabetic sensorimotor polyneuropathy (DSPN) is characterized by predominant and progressive injury to small nerve fibres followed by large fibre impairment. We alternatively hypothesized that small and large fibre damage due to DSPN in type 1 and type 2 diabetes could develop in parallel and may not only be progressive but also reversible. Participants from the German Diabetes Study baseline cohort with recent-onset type 1/type 2 diabetes (n = 350/570) and age-matched glucose-tolerant control individuals (Control 1/Control 2: n = 114/190) were assessed using nerve conduction studies, thermal detection thresholds, vibration perception thresholds, neuropathy symptom scores, neuropathy disability scores and intraepidermal nerve fibre density (IENFD) in skin biopsies (type 1/type 2 diabetes: n = 102/226; Control 1/Control 2: n = 109/208). Subsets of participants with type 1/type 2 diabetes were followed for 5 years (n = 184/307; IENFD subset: n = 18/69). DSPN was defined by the Toronto Consensus criteria. At baseline, DSPN was present in 8.1% and 13.3% of the type 1 and type 2 diabetes groups, respectively. The most frequently abnormal tests in the lower limbs below or above the 2.5th and 97.5th centiles of the controls were the IENFD (13.7%) and individual nerve conduction studies (up to 9.4%) in type 1 diabetes participants and IENFD (21.8%), malleolar vibration perception thresholds (17.5%), and individual nerve conduction studies (up to 11.8%) in those with type 2 diabetes, whereas thermal detection threshold abnormalities did not differ between the control and diabetes groups. After 5 years, the highest progression rates from the normal to the abnormal range in type 2 diabetes participants were found for IENFD (18.8%) by -4.1 ± 2.8 fibres/mm, malleolar vibration perception threshold (18.6%) by 9.1 ± 20.2 µm and nerve conduction studies (15.0%) by 3.7 ± 1.5 points, while vice versa the highest regression rates were observed for neuropathy disability scores (11.2%) by -3.1 ± 1.3 points, sural nerve amplitudes (9.1%) by 4.7 ± 3.0 µV, IENFD (8.7%) by 1.4 ± 1.3 fibres/mm, and neuropathy symptom scores (8.2%) by -5.8 ± 1.6 points. In type 1 diabetes participants, no major progression was seen after 5 years, but subclinical DSPN regressed in 10.3%. These findings point to early parallel damage to both small and large nerve fibres in well-controlled recent-onset type 2 and, to a lesser extent, type 1 diabetes. After 5 years, peripheral nerve morphology and function and clinical measures progress to the abnormal range in type 2 diabetes, but initial nerve alterations are also reversible to a meaningful degree.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.160

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.271
Teacher spread0.262 · 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

Citations37
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBrainSame topicPain Mechanisms and TreatmentsFrench-language works237,207