Evidence map›Paper›PMID 32711551›Full record

Trial reportTrials2020

Accuracy of time to treatment estimates in the CRASH-3 clinical trial: impact on the trial results.

Raoul Mansukhani, Lauren Frimley, Haleema Shakur-Still, Linda Sharples, Ian Roberts

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01402882 (Tranexamic Acid for the Treatment of Significant Traumatic Brain Injury), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01402882 phase3completednot on this map

Tranexamic Acid for the Treatment of Significant Traumatic Brain Injury: an International Randomised, Double Blind Placebo Controlled Trial

TypeinterventionalSponsorLondon School of Hygiene and Tropical MedicineRan2012 to 2019Enrolled12,737ConditionsTraumatic Brain InjuryArmsTranexamic Acid
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Raoul MansukhaniClinical Trials Unit, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. raoul.mansukhani@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-9456-5859
Lauren FrimleyClinical Trials Unit, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Haleema Shakur-StillClinical Trials Unit, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Linda SharplesDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Ian RobertsClinical Trials Unit, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
University of London · GB

Funding

Department of Health 06/303/20Department of Health 14/190/01Medical Research Council MR/M009211/1Wellcome Trust
6 · The paper itself

Abstract

backgroundEarly treatment with tranexamic acid may reduce deaths after traumatic brain injury (TBI). In mild and moderate TBI, there is a time to treatment interaction, with early treatment being most beneficial. Time to treatment was recorded by clinicians and is subject to error. Using monitoring data from the CRASH-3 trial, we examine the impact of errors in time to treatment on estimated treatment effects.

methodsThe CRASH-3 trial was a randomised trial of the effect of tranexamic acid on death and vascular occlusive events in 12,737 TBI patients. This analysis includes the 8107 patients with a Glasgow coma scale score of 9 to 15 since previous analyses showed that these patients benefit most from early treatment. Clinician-recorded time to treatment was checked against ambulance and hospital records for 1368/12,737 (11%) patients. Patients who died were preferentially selected for monitoring and we monitored 36% of head injury deaths. We describe measurement errors using Bland-Altman graphs. We model the effect of tranexamic acid on head injury death using logistic regression with a time-treatment interaction term. We use regression calibration, multiple imputation and Bayesian analysis to estimate the impact of time to treatment errors.

resultsClinicians rounded times to the nearest half or full hour in 66% of cases. Monitored times were also rounded and were identical to clinician times in 63% of patients. Times were underestimated by an average of 9 min (95% CI - 85, 66). There was more variability between clinician-recorded and monitored times in low- and middle-income countries than in high-income countries. The treatment effect estimate at 1 h was greater for monitored times OR = 0.61 (95% CI 0.47, 0.81) than for clinician-recorded times OR = 0.63 (95% CI 0.48, 0.83). All three adjustment methods gave similar time to treatment interactions. For Bayesian methods, the treatment effect at 1 h was OR = 0.58 (95% CI 0.43, 0.78). Using monitored times increased the time-treatment interaction term from 1.15 (95% CI 1.03, 1.27) to 1.16 (95% CI 1.05, 1.28).

conclusionsAccurate estimation of time from injury to treatment is challenging, particularly in low resource settings. Adjustment for known errors in time to treatment had minimal impact on the trial results.

trial registrationClinicalTrials.gov NCT01402882 . Registered on 25 July 2011.

Indexed as

Time-to-TreatmentAdolescentAdultAntifibrinolytic AgentsBayes TheoremBrain Injuries, TraumaticChildChild, PreschoolFemaleGlasgow Coma ScaleHumansInfantInfant, NewbornMaleMiddle AgedTranexamic AcidAntifibrinolytic AgentsTranexamic AcidAntifibrinolyticmeasurement errorMonitoringTranexamic acidTraumatic brain injury

Identifiers

PMID32711551
PMCPMC7382791
OpenAlexW3044958597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.