Assessing Thrombocytopenia and Chronic Liver Disease in Southeast Asia: A Multicentric Cross-Sectional Study
Bibliographic record
Abstract
Background This multicentric cross-sectional study aimed to examine the prevalence of thrombocytopenia (TCP) and investigate the various causes of chronic liver disease (CLD) across 15 Southeast Asian (India, Pakistan, and Bangladesh) tertiary care centers over a three-month period. The study focused on assessing the fibrosis index (FI) and Model for End-Stage Liver Disease (MELD)-sodium (Na) score's capacity to grade and predict the progression and outcomes of patients with already diagnosed CLD. Methods The cross-sectional study enrolled 377 CLD patients. The study utilized admission registries from 15 tertiary care hospitals in Southeast Asia, spanning from April 2023 to June 2023. Various descriptive variables were collected, including gender, tobacco use (specifically, chewed tobacco), underlying etiology, presence of anemia, leukopenia, pancytopenia, infectious state, and liver cirrhosis diagnosed via traditional ultrasonography. This study examined liver failure indicators, including alanine transaminase levels, compensation status, TCP, and liver transplant (LT) listing. The MELD-Na score was the focus of frequency and percentage analysis. MELD-Na and FI medians and standard deviations were provided. Results The study of 377 patients with CLD found that TCP was present in 4% of patients and leukopenia was present in 12% of patients. The risk of TCP was significantly higher in leukopenic patients (89.5%) than in non-leukopenic patients (52.5%) (p = 0.003). The most common CLD cause was undiagnosable (31%), followed by autoimmune (26%), hepatitis C virus (21%), hepatitis B virus (14%), and schistosomiasis (8%). The majority of patients (98%) had decompensated liver disease. Of the patients, 64% had TCP, while 36% did not. The illness severity indicators MELD score and FI had mean ± SD values of 16.89 ± 6.42 and 4.1 ± 1.06, respectively. Similarly, the prevalence of LT needs among traditional ultrasonography-diagnosed cirrhotic patients was 83.1%, compared to 59.6% among non-cirrhotic patients (p = 0.001). Conclusion Leukopenia and TCP may be linked, which may affect CLD treatment and prognosis in this population. Non-invasive indicators like the FI and MELD-Na score can detect liver fibrosis and severity without invasive procedures, enhancing patient management. These findings highlight the need to improve early diagnosis methods for CLD in Southeast Asia and raise awareness among clinicians about effective diagnostic strategies for non-infectious causes of CLD.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".