Indian Trial of Tranexamic acid in Spontaneous Intracerebral Hemorrhage study protocol
Bibliographic record
Abstract
RATIONALE: Early mortality in intracerebral hemorrhage (ICH) is due to hematoma volume (HV) expansion, and there are no effective treatments available other than reduction in blood pressure. Tranexamic acid (TXA) a hemostatic drug that is widely available and safe can be a cost-effective treatment for ICH, if proven efficacious. HYPOTHESIS: Administration of TXA in ICH patients when given within 4.5 h of symptom onset will reduce early mortality at 30 days. DESIGN: Indian Trial of Tranexamic acid in Spontaneous Intracerebral Haemorrhage (INTRINSIC trial) is a multicenter, randomized, open-label, trial enrolling patients aged more than 18 years presenting with non-traumatic ICH within 4.5 h of symptom onset or when last seen well. Study participants received 2 g of TXA administered within 45 min while control group received standard of care. Intensive blood pressure reduction as per INTERACT 2 protocol is followed is done in both groups. Study plans to recruit 3400 patients. Primary outcome is mortality at day 30. Secondary outcomes are radiological reduction in HV at 24 h from baseline, neurological impairment at day 7 or earlier (if discharged), and assessments of dependency and quality of life at day 90. SUMMARY: If proven to be beneficial, TXA will have a major impact on medical management of ICH. TRIAL REGISTRATION: Clinical Trial Registry India (CTRI/2023/03/050224) and Clinical Trials.gov (NCT05836831).
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.047 | 0.014 |
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".