Outcomes of Cholelithiasis Among Patients With Sickle Cell Disease: A Tertiary Care Center Experience
Bibliographic record
Abstract
BACKGROUND: Sickle cell disease (SCD) is a significant health burden in Saudi Arabia that leads to chronic hemolysis with subsequent formation of cholelithiasis. The prevalence of cholelithiasis in the Middle East varies in patients with SCD. The aim of our study was to determine the prevalence of cholelithiasis among SCD patients at a large tertiary care center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia, where more than 300 patients with hemoglobinopathies were followed up. METHODS: In this cross-sectional retrospective study conducted from May 2006 to May 2022, we reviewed 414 patients with SCD who were divided into two groups according to the presence or absence of cholelithiasis. Demographic data, SCD phenotype, splenectomy, cholecystectomy, and hydroxyurea were reviewed from the patient's medical records. They were analyzed to suggest a correlation between the incidence of cholelithiasis and the chances of cholecystectomy. RESULTS: A total of 414 patients with SCD were reviewed. The mean age of participants was 31 years (10-82), with 52% male. Patients with homozygous sickle hemoglobin (HbSS) constituted 73% of the cohort. The rest (26%) had HbS/β-thalassemia. Thirty-three patients (8%) had splenectomy done. Compliance with hydroxyurea was observed in 174 patients (42%). A total of 64.7% of patients had cholelithiasis (n=269), out of which 159 patients (59.1%) had cholecystectomy done. Surprisingly, a significant association was found between cholecystectomy and the use of hydroxyurea (p=0.003). Additionally, there was a significant association found between the development of cholelithiasis and increasing age (p=0.037). CONCLUSION: There was a high prevalence of cholelithiasis found in patients with SCD. It correlated significantly with high-age groups. Further research is warranted to confirm the relationship between hydroxyurea and cholelithiasis.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".