ArticleJAMA network open2026
Initial Injury Type and Violent Reinjury.
Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Violent injuries are the leading cause of death among children and young adults in the United States. Violent injury may increase the risk of subsequent injury (ie, violent reinjury), but it is unclear how this risk varies across different injury types (eg, blunt assault, stabbing, firearm). Objective: To describe patterns of violent reinjury across different injury types to inform tailored prevention strategies. Design, Setting, and Participants: This multicenter cohort study included patients who presented with violent injuries to 2 adult and 2 pediatric level I trauma centers in St Louis, Missouri, from January 2016 to December 2023. Exposures: Violent injuries were classified into 3 injury types: blunt assault, stabbing, and firearm. Main Outcomes and Measures: The main outcome was time to recurrent violent injury in years. We used Kaplan-Meier time-to-event analyses to estimate the probability of violent reinjury across different initial (index) and recurrent injury types at 1, 5, and 7 years from index injury. Results: There were 29 810 individuals with violent injuries during the study period. The age distribution was as follows: 17 228 (57.8%) older than 26 years; 7690 (25.8%), 18 to 26 years; and 4727 (15.8%) younger than 18 years. Most were male (19 933 [66.9%]), and there were 21 126 (70.9%) Black and 7031 (23.6%) White individuals, with 792 (2.7%) belonging to an additional racial group (American Indian or Alaska Native, Asian, Native Hawaiian or Pacific Islander, other, or multiracial), having unknown race, or declining to disclose race. Among 29 038 patients (97.4%) who survived their index injury, 3899 (13.4%) experienced reinjury. The 7-year probability of any reinjury was highest among individuals with index stabbing (19.5% [95% CI, 17.5%-21.8%]) and blunt assault (17.4% [95% CI, 16.6%-18.2%]) injuries. Patients with index blunt assault injuries were more likely to experience blunt assault reinjury (7-year probability: 13.2% [95% CI, 12.6%-13.8%]) compared with other reinjury types. The 7-year probability of firearm reinjury was highest among those with index firearm injuries (12.6% [95% CI, 11.8%-13.4%]). Conclusions and Relevance: In this cohort study of individuals with violent injuries, reinjury was common, but this risk varied across injury types, which may be due to differing contextual factors. Preventing violent reinjury requires attention to these issues to better address the root causes of repeated violence exposure.
Indexed as
Identifiers
What OpenQuestion holds
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.