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Oral health of hemodialysis patients: A cross‐sectional study at two <scp>G</scp>erman dialysis centers

2011· article· en· W1921523017 on OpenAlexvenueno aff
Dirk Ziebolz, Petra Fischer, Else Hornecker, R Mausberg

Bibliographic record

VenueHemodialysis International · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOral and gingival health research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisDialysisOral hygieneCross-sectional studyDiabetic nephropathyInternal medicineDentistryKidneyPathology

Abstract

fetched live from OpenAlex

The aim of the study was to investigate the oral hygiene behavior and state of oral health of hemodialysis (HD) patients in Germany. HD patients attending two dialysis centers were asked to participate in the study. Anamneses and oral hygiene behavior were recorded in a questionnaire. Dental examination included the dental status (DMF-T) and the degree of gingival inflammation (PDI: Periodontol Disease Index). Of 129 patients contacted, 54 (42%), aged 63.9 ± 13.0 years (23 women and 31 men), took part in the study. At an average, dialysis was required for 4.1 years. The cause of terminal renal failure was glomerulonephritis in 30% of patients and diabetic nephropathy in 22% of patients. Since dialysis therapy, 63% of the patients (n = 34) only visited a dentist when they had complaints. In 46 cases (85%), the dentist had been informed about the patient's requirement for dialysis, and in most cases (70%), the dental treatment took place on the day after dialysis. The mean DMF-T of the HD patients was 22.1 ± 6.5. The proportion of carious teeth was low (D-T: 0.7 ± 1.2), of missing teeth (M-T) high (16.2 ± 9.3). The median degree of gingival inflammation (PDI) was 1. Availing themselves of dental treatment after patients needed to have dialysis was mostly "complaint oriented." In addition to a high proportion of missing teeth, a good level of restoration of caries was found. The gingiva showed only a low level of inflammatory changes.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.136
GPT teacher head0.462
Teacher spread0.326 · 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; both teacher heads agree on what is shown here.

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

Citations34
Published2011
Admission routes1
Has abstractyes

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