Acceptance of standardized ultrasound classification, use of albendazole, and long-term follow-up in clinical management of cystic echinococcosis
Bibliographic record
Abstract
PURPOSE OF REVIEW: Cystic echinococcosis is a chronic, complex, and neglected disease. The need for a simple classification of cyst morphology that would provide an accepted framework for scientific and clinical work on cystic echinococcosis has been addressed by two documents issued by the WHO Informal Working Group on Echinococcosis in 2003 (cyst classification) and in 2010 (Expert consensus for the diagnosis and treatment of echinococcosis). RECENT FINDINGS: Here we evaluate the use of the WHO Informal Working Group on Echinococcosis classification of hepatic cystic echinococcosis, the acceptance by clinicians of recommendations regarding the use of albendazole, and the implementation of the long-term follow-up of patients with hepatic cystic echinococcosis in the scientific literature since the WHO Informal Working Group on Echinococcosis recommendations were issued. SUMMARY: Of the publications included in our review, 71.2% did not indicate any classification, whereas 14% used the WHO Informal Working Group on Echinococcosis classification. Seventy-four percent reported the administration of peri-interventional albendazole, although less than half reported its modality, and 51% the length of patient follow-up. A joint effort is needed from the scientific community to encourage the acceptance and implementation of these three key issues in the clinical management of cystic echinococcosis.
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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 | 0.020 | 0.101 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".