Tuberculosis induced autoimmune haemolytic anaemia: a systematic review to find out common clinical presentations, investigation findings and the treatment options
Bibliographic record
Abstract
BACKGROUND: Tuberculosis induced autoimmune haemolytic anaemia is a rare entity. The aim of this study was to explore its common presentations, investigation findings and treatment options through a systematic review of published reports. METHODS: PubMed, Trip, Google Scholar, Science Direct, Cochrane Library, Open-Grey, Grey literature report and the reference lists of the selected articles were searched for case reports in English on tuberculosis induced auto-immune haemolytic anaemia. PRISMA statement was used for systematic review. Quality assessment of the selected reports was done using the CARE guidelines. RESULTS: Twenty-one articles out of 135 search results were included. Thirty-three percent of patients were reported from India. More than half had fever and pallor. The mean haemoglobin was 5.77 g/dl (SD 2.2). Positive direct coombs test was seen in all patients. Pulmonary tuberculosis (43%) was most prevalent. Twenty-nine percent of patients needed a combination of anti-tuberculosis medicines, blood transfusion and steroids. Higher percentage of disseminated TB induced AIHA (67%) needed steroids in comparison to the other types of TB induced AIHA (13%). CONCLUSIONS: Rarer complications of tuberculosis such as auto-immune haemolytic anaemia should be looked for especially in disease-endemic areas. Blood transfusion and steroids are additional treatment options along with the anti-tuberculosis medicines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".