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Record W4323035919 · doi:10.3238/arztebl.m2023.0046

The long-term sequelae of traumatic brain injury over 10 years of follow-up—a matched cohort study based on routine data of a statutory health insurance carrier

2023· article· en· W4323035919 on OpenAlexaff
E. Rickels, Wolf-Ingo Steudel, Uwe Repschläger, Claudia Schulte, Harald Weissgärber, Danny Wende

Bibliographic record

VenueDeutsches Ärzteblatt international · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicineTraumatic brain injuryRate ratioDepression (economics)CohortRelative riskCohort studyPoisson regressionIncidence (geometry)PopulationAnxietyPediatricsPoison controlConfidence intervalPsychiatryInternal medicineEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The acute effects of traumatic brain injury (TBI) are well documented, but there is no systematic quantification of its long-term sequelae in Germanlanguage literature. The purpose of this article is to compare the frequency of conditions linked to prior TBI with their frequency in the non-brain-injured population. METHODS: A matched cohort study was carried out on the basis of routine data from the BARMER statutory health insurance carrier. The exposure group consisted of patients treated over the period 2006-2009 for TBI at a variety of treatment intensities, including persons with multiple organ trauma. The control group consisted of BARMER insurees without prior TBI who were matched with the patients in the exposure group for age, sex, and pre-existing diseases. Late sequelae were sought in the routine data for a period of ten years after the injury. The outcome rates of the exposure and control groups were compared with Kaplan-Meier estimators and Poisson regression. RESULTS: 114 296 persons with TBI in the period 2006-2009 were included in the study. The mortality within ten years of TBI was 305 per 1000 individuals. The relative mortality in the exposure group was higher than that in control individuals of the same age and sex, with an incidence rate ratio (IRR) of 1.67 (95% confidence interval, [1.60; 1.74]). Immobility, dementia, epilepsy, endocrine disorders, functional disorders, depression, anxiety, cognitive deficits, headache, and sleep disorders were also more common in the exposure group. Persons with TBI requiring highintensity treatment displayed the highest relative incidence rates of the conditions studied over 10 years of follow-up. Persons who had been admitted to the hospital because of TBI had higher relative incidence rates for epilepsy and dementia than those who had been cared for on an outpatient basis. CONCLUSION: Adverse sequelae of TBI can still be seen ten years after the exposure. These patients die earlier than persons without TBI and suffer earlier and more frequently from associated conditions.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.120
GPT teacher head0.417
Teacher spread0.297 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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