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Cirrhosis Ameliorates Renal Osteodystrophy in Patients on Regular Hemodialysis

2004· article· en· W2228154517 on OpenAlexvenueno aff
Milhad Shenouda, Mariam El‐Zein, Mohamed Sharaf‐Eldin, Isabelle El-Esper, F. Boitte, A. Fournier, Rashad S. Barsoum

Bibliographic record

VenueHemodialysis International · 2004
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineHemodialysisRenal osteodystrophyGastroenterologyConcomitantCirrhosisRenal functionVitamin D and neurologyOsteoporosisEndocrinologyKidney disease

Abstract

fetched live from OpenAlex

Cirrhosis (Cir) is often associated with chronic renal failure (CRF) in Egyptian patients on regular hemodialysis (RHD). This is largely attributed to hepatosplenic schistosomiasis and concomitant Hepatitis C viral infection. As the liver has a major role in vitamin D3 activation, we designed this study to envisage the impact of Cir on renal osteodystrophy (ROD). It included 130 consecutive age‐ and gender‐matched subjects in 4 categories. Group I: 39 patients (34 male and 5 female; mean age 48.8 years) with Cir normal renal function; group II: 37 patients (30 male and 7 female; mean age 49.0 years) with CRF and normal liver function, on RHD for a mean duration of 6 ± 3.9 years; group III: 41 patients (30 male and 11 female; mean age 50.7 years) with CRF and concomitant Cir, stable on RHD for a mean duration of 7.0 ± 4.0 years; and group IV: 16 normal volunteers (13 male and 3 female; mean age 46.3 years). The prevalence of diabetes as well as previous infection with schistosomiasis was similar in all patient groups and that of HCV infection was alike in groups I and III. In all subjects, conventional parameters of liver and renal function were tested; in addition to measurement of serum total protein, albumin, calcium, phosphate, total and bone‐specific alkaline phosphatase (B‐ALP), parathormone (PTH), 5‐hydroxycholecalciferol (5HD), 1,25‐dihydroxycholecalciferol (1,25HD), Cross Laps (CXL) as a marker of bone resorption, and aminoterminal propeptide of type I procollagen (PINP) as a measure of bone formation. Bone mineral density (BMD) was measured by either Dual Energy X‐ray Absorptiometry (DEXA) or Computerized Tomography (CT). Group II patients displayed the typical CRF profile comprising hypocalcemia, hyperphosphatemia, increased total and bone‐specific alkaline phosphatases, high PTH and 25HD, low 1,25HD, increased PINP as well as CXL, and generally decreased BMD. Cir (Group III) significantly (p value at least <0.5) modified this profile in several aspects: it checked hypocalcemia (mean 8.8 vs. 7.9 mg/dL in groups II and III, respectively), hyperphosphatemia (5.15 vs. 4.9 mg/dL), and the elevation of B‐ALP (62 vs. 30.5 μg/L) and PTH (89 vs. 78 pg/mL). It lowered the serum level of 25HD (18.7 vs. 13.7 ng/mL), augmented the deficiency of 1,25HD (13.4 vs. 8.0 pg/mL), did not appreciably affect the increase in bone formation (PINP 77.9 vs. 75.5 ng/mL), but ameliorated its excessive resorption (CXL 21 860 vs. 30 328 pmol/L) noticed in group II. This was associated with amelioration of the dialysis‐associated osteopenia (70 vs. 33.5%) and increased incidence of osteosclerosis (30 vs. 61%), as measured by bone mineral density. Conclusion: Our data indicate that Cir ameliorates ROD through decreased bone resorption. This is associated with better tolerance to 1,25HD deficiency, which initiates the cascade of hypocalcemia, hyperparathyroidism, and increased bone resorption in CRF. Such tolerance may reflect upregulation of vitamin D receptors as a consequence of the humoral perturbation supervening in Cir, involving IGF‐1, estrogens, or other vitamin D metabolites as 24,25 HD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.012
GPT teacher head0.269
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2004
Admission routes1
Has abstractyes

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