Incidence of and Factors Associated With Recurrent Firearm Injury Among Patients Presenting to St. Louis Trauma Centers, 2010 to 2019
Open accessAbstract
BACKGROUND: Firearm injuries are a public health crisis in the United States. OBJECTIVE: To examine the incidence and factors associated with recurrent firearm injuries and death among patients presenting with an acute (index), nonfatal firearm injury. DESIGN: Multicenter, observational, cohort study. SETTING: Four adult and pediatric level I trauma hospitals in St. Louis, Missouri, 2010 to 2019. PARTICIPANTS: = 9553) presenting to a participating hospital with a nonfatal acute firearm injury. MEASUREMENTS: Data on firearm-injured patient demographics, hospital and diagnostic information, health insurance status, and death were collected from the St. Louis Region-Wide Hospital-Based Violence Intervention Program Data Repository. The Centers for Disease Control and Prevention (CDC) Social Vulnerability Index was used to characterize the social vulnerability of the census tracts of patients' residences. Analysis included descriptive statistics and time-to-event analyses estimating the probability of experiencing a recurrent firearm injury. RESULTS: We identified 10 293 acutely firearm-injured patients of whom 9553 survived the injury and comprised the analytic sample. Over a median follow-up of 3.5 years (IQR, 1.5 to 6.4 years), 1155 patients experienced a recurrent firearm injury including 5 firearm suicides and 149 fatal firearm injuries. Persons experiencing recurrent firearm injury were young (25.3 ± 9.5 years), predominantly male (93%), Black (96%), and uninsured (50%), and resided in high social vulnerability regions (65%). The estimated risk for firearm reinjury was 7% at 1 year and 17% at 8 years. LIMITATIONS: Limited data on comorbidities and patient-level social determinants of health. Inability to account for recurrent injuries presenting to nonstudy hospitals. CONCLUSION: Recurrent injury and death are frequent among survivors of firearm injury, particularly among patients from socially vulnerable areas. Our findings highlight the need for interventions to prevent recurrence. PRIMARY FUNDING SOURCE: Emergency Medicine Foundation-AFFIRM and Missouri Foundation for Health.
AI snapshot
Written from the paper’s full text.
TL;DR
Among 9,553 patients who survived an index nonfatal firearm injury in St. Louis trauma centers from 2010 to 2019, recurrent firearm injury was common, with an estimated reinjury risk of 7% at 1 year and 17% at 8 years. Recurrent injury and death were concentrated among young, male, Black, uninsured patients and those from high social vulnerability areas.
Key findings
- Of 9,553 patients at risk after surviving an index firearm injury, 1,155 experienced a recurrent firearm injury over a median follow-up of 3.5 years (IQR 1.5–6.4), including 5 firearm suicides and 149 fatal firearm injuries.
- The estimated probability of firearm reinjury was 7% at 1 year, 13% at 5 years, and 17% at 8 years; the recurrent firearm injury rate was 3.0 per 100 person-years (95% CI 2.8–3.1).
- Patients with recurrent injury were mean age 25.3 ± 9.5 years, 93% male, 96% Black, 50% uninsured, and 65% resided in a high social vulnerability region. The fatal-to-nonfatal firearm injury ratio was approximately 1:14 in the index injury population and 1:7 in the recurrent injury population.
- Male sex, Black race, age <30, government-sponsored or no insurance, and high SVI were associated with statistically significant increased risk of recurrent injury; in a multivariable model including all covariates, the association of SVI category with reinjury largely disappeared.
Methods
- Multi-center retrospective observational cohort study of consecutive adult and pediatric patients presenting to four St. Louis adult or pediatric level I trauma hospitals with an acute nonfatal firearm injury between January 1, 2010, and December 31, 2019.
- Data came from the St. Louis Region-Wide Hospital-Based Violence Intervention Program Data Repository, with National Death Index data for deaths and CDC Social Vulnerability Index for census tract social vulnerability; LASSO regression classified encounters as acute firearm injuries versus follow-up visits.
- Analysis included descriptive statistics, firearm reinjury incidence rate, Kaplan-Meier time-to-event analysis, and Cox proportional hazards models; non-firearm injury deaths were treated as competing risks.
Limitations
- The paper states limitations including retrospective design and potential misclassification bias; reliance on accurate diagnostic coding; possible missed firearm injuries without corresponding ICD codes; possible index injuries before 2010 underestimating recurrence; likely undercount of minor firearm injuries discharged from community hospital EDs; inability to capture reinjury among patients who moved out of the region; limited data on comorbidities and patient-level social determinants of health; likely undercounts of depression and substance use disorder; possible undercount of recurrent firearm injury deaths with incomplete identifiers or no NDI cause-of-death code; HVIP implementation late in the study period; and data from a single urban area that may not be generalizable.
- The text also makes evident that the observational design cannot establish causality, and that SVI may serve as a proxy for structural disparities and place-based racism with high collinearity with age and sex, which may explain its attenuation in the multivariable model.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
8 of 27 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Interpretationreasoning
The comprehensive and representative sample may account for the higher recurrent injury observed in this study compared to others reporting recurrent firearm injury ranging from one to 10% across a variety of clinical and geographic settings and time periods.
“This may account for the higher recurrent injury observed in this study compared to others reporting recurrent firearm injury ranging from one to 10% across a variety of clinical and geographic settings and time periods.15,18,33-44”
Quote in the paperSubstantial claim2 of 10 sources checked- cites [15] de Anda H, Dibble T, Schlaepfer C, Foraker R, Mueller K. A Cross-Sectional Study of Firearm Injuries in Emergency Department Patients. Mo Med. 2018; 115(5): 456– 462. 30385996 PMC6205282
- cites [18] Pear VA, McCort CD, Kravitz-Wirtz N, Shev AB, Rowhani-Rahbar A, Wintemute GJ. Risk factors for assaultive reinjury and death following a nonfatal firearm assault injury: A population-based retrospective cohort study. Preventive medicine. 2020; 139: 106198. 32652134 source
- cites [33] Kaufmann CR, Branas CC, Brawley ML. A population-based study of trauma recidivism. The Journal of trauma. 1998; 45(2): 325– 331; discussion 331-322. 9715190 source
- cites [34] Davis JS, Pandya RK, Sola JE, Perez EA, Neville HL, Schulman CI. Pediatric trauma recidivism in an urban cohort. The Journal of surgical research. 2013; 182(2): 326– 330. 23312811 source
- cites [35] Rowhani-Rahbar A, Zatzick D, Wang J, Firearm-related hospitalization and risk for subsequent violent injury, death, or crime perpetration: a cohort study. Annals of internal medicine. 2015; 162(7): 492– 500. 25706337 source
- cites [36] Nanney JT, Conrad EJ, McCloskey M, Constans JI. Criminal Behavior and Repeat Violent Trauma: A Case-Control Study. American journal of preventive medicine. 2015; 49(3): 395– 401. 25896195 source
- cites [37] Carter PM, Walton MA, Roehler DR, Firearm violence among high-risk emergency department youth after an assault injury. Pediatrics. 2015; 135(5): 805– 815. 25847808 PMC4411782 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [38] Gibson PD, Ippolito JA, Shaath MK, Campbell CL, Fox AD, Ahmed I. Pediatric gunshot wound recidivism: Identification of at-risk youth. The journal of trauma and acute care surgery. 2016; 80(6): 877– 883. 27032010 source
- cites [39] Carter PM, Cook LJ, Macy ML, Individual and Neighborhood Characteristics of Children Seeking Emergency Department Care for Firearm Injuries Within the PECARN Network. Academic emergency medicine: official journal of the Society for Academic Emergency Medicine. 2017; 24(7): 803– 813. 28423460 PMC5515362 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [40] Shaahinfar A, Yen IH, Alter HJ, Long-term Mortality in Pediatric Firearm Assault Survivors: A Multicenter, Retrospective, Comparative Cohort Study. Academic Emergency Medicine. 2018; 25(12): 1447– 1457. 30311324 source
- Premisecitation
The STL-HVIP-DR contains EHR data from all patients that presented to the hospital (ED and inpatient) following a violent injury.
“The STL-HVIP-DR contains EHR data from all patients that presented to the hospital (ED and inpatient) following a violent injury.19”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [19] Mueller KL, Trolard A, Moran V, Landman JM, Foraker R. Positioning public health surveillance for observational studies and clinical trials: The St. Louis region-wide hospital-based violence intervention program data repository. Contemporary Clinical Trials Communications. 2021; 21: 100683. 33385095 PMC7770475 source
The Abstract Methods section says the repository includes all violent-injury visits to four participating St. Louis trauma hospitals from 2010 through 2019, and the Discussion says it links emergency-department and inpatient data. The claim captures the type of data but omits those hospital and time limits; it also says all patients rather than all qualifying visits. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationown data
Racial disparities are evident in the study cohort.
“Racial disparities are evident in our cohort, as observed in other local and national studies.”
Quote in the paperSubstantial claim2 of 5 sources checked- cites [6] Jacoby SF, Dong B, Beard JH, Wiebe DJ, Morrison CN. The enduring impact of historical and structural racism on urban violence in Philadelphia. Social science & medicine (1982). 2018; 199: 87– 95. 28579093 PMC7437144 source
- cites [18] Pear VA, McCort CD, Kravitz-Wirtz N, Shev AB, Rowhani-Rahbar A, Wintemute GJ. Risk factors for assaultive reinjury and death following a nonfatal firearm assault injury: A population-based retrospective cohort study. Preventive medicine. 2020; 139: 106198. 32652134 source
- cites [45] Wong B, Bernstein S, Jay J, Siegel M. Differences in Racial Disparities in Firearm Homicide across Cities: The Role of Racial Residential Segregation and Gaps in Structural Disadvantage. Journal of the National Medical Association. 2020; 112(5): 518– 530. 32641258 source
- cites [46] Van Dyke ME, Chen MS, Sheppard M, County-Level Social Vulnerability and Emergency Department Visits for Firearm Injuries - 10 U.S. Jurisdictions, January 1, 2018-December 31, 2021. MMWR Morbidity and mortality weekly report. 2022; 71(27): 873– 877. 35797204 PMC9290382 source
- cites [47] Formica MK. An Eye on Disparities, Health Equity, and Racism-The Case of Firearm Injuries in Urban Youth in the United States and Globally. Pediatric clinics of North America. 2021; 68(2): 389– 399. 33678293 source
- Findingown data
Injured patients predominantly resided in areas of high social vulnerability.
“Injured patients 201 predominantly resided in areas of high social vulnerability (Figure 2).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
- Findingown data
Three hundred and two patients died following index injury with a cause of death reported by the NDI.
“Three hundred and two patients died following index injury with a cause of death reported by the NDI (Table 2).”
Quote in the paperNot a substantial claim
- Findingown data
The median follow-up time was 3.5 years (IQR 1.5, 6.4).
“The median follow-up time was 3.5 years (IQR 1.5, 6.4).”
- Also stated in: § Results · plain
“Over a median follow-up of 3.5 years (IQR 1.5, 6.4)”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
When using the STL-HVIP-DR hospital encounter data alone (excluding deaths), the estimated probability of firearm reinjury decreased to 6% at one year, 12% at five years, and 15% at eight years following index injury.
“When using the STL-HVIPDR hospital encounter data alone (excluding deaths) the estimated probability of firearm reinjury decreased to 6% at one year, 12% at five years, and 15% at eight years following index injury (Supplement C.).”
Quote in the paperNot a substantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- Findingown data
Of the 9,553 patients at risk, 1,155 had a recurrent firearm injury.
“Of these, 1,155 had a recurrent firearm injury.”
- Also stated in: § Results · plain
“1,155 patients experienced a recurrent firearm injury including 5 firearm suicides and 149 fatal firearm injuries.”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- Also stated in: § Results · plain
- Findingown data
21% of study deaths resulted from drug overdose.
“21% of subsequent deaths were due to drug overdose.”
- Also stated in: § Conclusions · plain
“Notably, 21% of study deaths resulted from drug overdose.”
Quote in the paperNot a substantial claim - Also stated in: § Conclusions · plain
- Findingcitation
The median age of death was 27 years-49 years younger than the 76 years average age of death in St. Louis from 2011-2019.
“The median age of death was 27 years—49 years younger than the 76 years average age of death in St. Louis from 2011-2019.54”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Missouri Department of Health and Senior Services. Life Expectancy 2011-2019. https://health.mo.gov/data/lifeexpectancy/. Accessed January 19, 2023.
Not checked in the free run.
- Findingown data
The median time to reinjury was 0.9 years (IQR 0.1, 2.7).
“The median time to reinjury was 0.9 years (IQR: 0.1, 2.7), while the median follow-up time for those without recurrent injuries was 4.0 years (IQR: 2.0, 6.8).”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- Findingown data
The STL-HVIP-DR included 10,293 patients with an index firearm injury between January 1, 2010 and December 31, 2019.
“The STL-HVIP-DR included 10,293 patients with an index firearm injury between January 1, 2010 and December 31, 2019 (Figure 1, Table 1).”
- Also stated in: § Results · plain
“We identified 10,293 acutely firearm-injured patients of whom 9,553 survived the injury and comprised the analytic sample.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Premisecitation
Among the four studies that conducted a survival analysis, cumulative incidence for recurrent firearm injuries ranged from approximately 2% after five years to 16% after 10 years.
“Among the four studies that conducted a survival analysis, cumulative incidence for recurrent firearm injuries ranged from approximately 2% after five years to 16% after 10 years.18,35,42,44”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [18] Pear VA, McCort CD, Kravitz-Wirtz N, Shev AB, Rowhani-Rahbar A, Wintemute GJ. Risk factors for assaultive reinjury and death following a nonfatal firearm assault injury: A population-based retrospective cohort study. Preventive medicine. 2020; 139: 106198. 32652134 source
- cites [35] Rowhani-Rahbar A, Zatzick D, Wang J, Firearm-related hospitalization and risk for subsequent violent injury, death, or crime perpetration: a cohort study. Annals of internal medicine. 2015; 162(7): 492– 500. 25706337 source
- cites [42] Marshall WA, Egger ME, Pike A, Recidivism rates following firearm injury as determined by a collaborative hospital and law enforcement database. The journal of trauma and acute care surgery. 2020; 89(2): 371– 376. 32345906 source
- cites [43] Bonne S, Tufariello A, Coles Z, Identifying participants for inclusion in hospital-based violence intervention: An analysis of 18 years of urban firearm recidivism. The journal of trauma and acute care surgery. 2020; 89(1): 68– 73. 32574483 source
- cites [44] Pino EC, Fontin F, James TL, Dugan E. Mechanism of penetrating injury mediates the risk of longterm adverse outcomes for survivors of violent trauma. The journal of trauma and acute care surgery. 2022; 92(3): 511– 519. 34284465 source
- Interpretationown data
Black men and boys aged 13-30 have the highest probability for reinjury.
“For HVIPs with limited service provision resources, our results indicate that Black men and boys aged 13-30 have highest probability for reinjury; this group may benefit from targeted HVIP recruitment and engagement efforts.”
Quote in the paperSubstantial claim - Interpretationown data
The 1:7 fatal to non-fatal ratio is a more accurate representation of the study data because it included NDI out-of-hospital recurrent firearm injury deaths.
“We believe the 1:7 ratio is a more accurate representation of our data as they included NDI out-of-hospital recurrent firearm injury deaths.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Depression and substance use disorder codes presented here are likely substantial undercounts as it is unlikely that patients consistently received assessment for these conditions.
“Depression and substance use disorder codes presented here are likely substantial undercounts as it is unlikely that patients consistently received assessment for these conditions.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The data repository will not capture reinjury hospital encounters in patients who have moved out of the region.
“Relatedly, our data repository will not capture reinjury hospital encounters in patients who have moved out of the region.”
Quote in the paperSubstantial claim - Study design and conductreasoning
It is likely that the results undercount minor firearm injuries that are discharged directly from community hospital EDs, and thus not captured in the STL-HVIP-DR.
“it is likely that our results undercount minor firearm injuries that are discharged directly from community hospital EDs, and thus not captured in the STL-HVIP-DR.”
Quote in the paperNot a substantial claim - Study design and conductown data
The study had limited data on comorbid conditions and patient-level social determinants of health.
“We had limited data on comorbid conditions and patient-level social determinants of health.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The data may also undercount recurrent firearm injury deaths in patients with incomplete identifiers at time of death and those who did not receive a corresponding NDI cause of death code.
“Our data may also undercount recurrent firearm injury deaths in patients with incomplete identifiers at time of death and those who did not receive a corresponding NDI cause of death code.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 7
- May combine two claims. 21
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThis study was designed in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology Statement.
“This study was designed in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology Statement.20”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. International journal of surgery (London, England). 2014; 12(12): 1495– 1499. 25046131 source
Section 2, “Aims and use of the STROBE Statement,” says STROBE provides guidance on reporting observational research and explicitly says its recommendations are not prescriptions for designing or conducting studies. The cited paper therefore does not support describing STROBE as a standard in accordance with which the study was designed. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
Interpretationown dataThe study patients experienced much higher rates of non-fatal firearm injuries than reported elsewhere; the fatal to non-fatal firearm injury rate was 1:14 in the index injury population and 1:7 in the recurrent injury population, compared to rates of 1:2 reported elsewhere.
“Additionally, our patients experienced much higher rates of non-fatal firearm injuries than reported elsewhere; the fatal to non-fatal firearm injury rate was 1:14 in the index injury population and 1:7 in the recurrent injury population, compared to rates of 1:2 reported elsewhere.10,31”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [10] Kaufman EJ, Wiebe DJ, Xiong RA, Morrison CN, Seamon MJ, Delgado MK. Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017. JAMA internal medicine. 2021; 181(2): 237– 244. 33284327 PMC7851729 source
- cites [31] Kaufman EJ, Delgado MK. The Epidemiology of Firearm Injuries in the US: The Need for Comprehensive, Real-time, Actionable Data. Jama. 2022; 328(12): 1177– 1178. 36166012 source
May combine two claims.
InterpretationreasoningThe association between reinjury and SVI was not significant in the multivariable model due to the likelihood of SVI serving as a proxy for structural disparities and place-based racism among these young, Black men, resulting in high collinearity between SVI and both age and sex.
“We believe the association between reinjury and SVI was not significant in the multivariable model due to the likelihood of SVI servings as a proxy for structural disparities and place-based racism among these young, Black men, resulting in high collinearity between SVI and both age and sex.53”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [53] Rees CA, Monuteaux MC, Steidley I, Trends and Disparities in Firearm Fatalities in the United States, 1990-2021. JAMA network open. 2022; 5(11): e2244221. 36445703 PMC9709653 source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMost decedents were less than 40 years old at time of death.
“Most decedents were less than 40 years old at time of death.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe fatal to nonfatal firearm injury ratio was approximately 1 to 14 in the index injury population and 1 to 7 in the recurrent injury population.
“The fatal to nonfatal firearm injury ratio was approximately 1 to 14 in the index injury population and 1 to 7 in the recurrent injury population.”
- Also stated in: § Discussion · plain
“the fatal to non-fatal firearm injury rate was 1:14 in the index injury population and 1:7 in the recurrent injury population, compared to rates of 1:2 reported elsewhere.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataThe majority of firearm injured patients were young, un- or under-insured Black men living in areas with a high SVI.
“The majority of firearm injured patients were young, un- or under-insured Black men living in areas with a high SVI.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
May combine two claims.
Findingown dataThe number of unique acutely firearm injured individuals increased over time from a total of 983 in 2010 to 1,217 in 2019, peaking in 2017 (n=1,340).
“The number of unique acutely firearm injured individuals increased over time from a total of 983 in 2010 to 1,217 in 2019, peaking in 2017 (n=1,340) (Supplement B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the 10,293 acute firearm injured patients, 693 suffered fatal injury and 47 were missing identifiers, leaving 9,553 patients in the analytic sample at-risk for a recurrent firearm injury.
“Of the 10,293 acute firearm injured patients, 693 suffered fatal injury and 47 were missing identifiers allowing follow-up within the STL-HVIP-DR or NDI, leaving 9,553 patients in the analytic sample at-risk for a recurrent firearm injury (Figure 1).”
- Also stated in: § Results · plain
“of whom 9,553 survived the injury and comprised the analytic sample”
Quote in the paperSubstantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataA multivariable model including all covariates simultaneously yielded the same conclusions, except that the association of SVI category with risk of reinjury largely disappeared after controlling for the other variables.
“A multivariable model including all covariates simultaneously yielded the same conclusions, except that the association of SVI category with risk of reinjury largely disappeared after controlling for the other variables(Supplement D).”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
May combine two claims.
Findingown dataMale sex, Black race, age <30, government-sponsored or no insurance, and high SVI were at statistically significant increased risk for recurrent injury.
“Male sex, Black race, age <30 , government-sponsored or no insurance, and high SVI were at statistically significant increased risk for recurrent injury.”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
May combine two claims.
Findingown dataNearly half of deaths were due to a recurrent firearm injury, with 42 patients surviving more than one firearm injury encounter prior to firearm injury death.
“Nearly half of deaths were due to a recurrent firearm injury, with 42 patients surviving more than one firearm injury encounter prior to firearm injury death.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
May combine two claims.
Findingown dataIndividuals with recurrent firearm injuries were mean age 25 years (SD 10), 93% male, 96% Black, 50% uninsured, and 65% resided in a high SVI region.
“Individuals with recurrent injuries were mean age 25 years (SD: 10), 93% male, 96% Black, 50% uninsured, and 65% resided in a high SVI region.”
- Also stated in: § Results · plain
“Individuals experiencing recurrent firearm injury were young (25.3 +/− 9.5 years), and predominantly male (93%), Black (96%), uninsured (50%), and resided in high social vulnerability regions (65%).”
Quote in the paperNot a substantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- The authors state this as an assumption: The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
- Also stated in: § Results · plain
May combine two claims.
Findingown dataAmong reinjured patients, 1,016 (88%) had one unique firearm reinjury encounter, 127 (11%) had two additional unique firearm reinjury encounters, and 12 (1%) had three.
“Among reinjured patients, 1,016 (88%) had one unique firearm reinjury encounter, 127 (11%) had two additional unique firearm reinjury encounters, and 12 (1%) had three.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
May combine two claims.
Findingown dataBased on Kaplan-Meier analyses, the probability of firearm reinjury was estimated to be 7% at one year, 13% at five years, and 17% at eight years following index injury.
“Based on KaplanMeier analyses, the probability of firearm reinjury was estimated to be 7% at one year, 13% at five years, and 17% at eight years following index injury (Figure 3).”
- Also stated in: § Results · hedged
“The estimated risk of firearm reinjury was 7% at one year and 17% at eight years.”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
- Also stated in: § Results · hedged
May combine two claims.
Findingown dataTotal follow-up time for all patients was 38,896 person-years with a recurrent firearm injury rate of 3.0 per 100 person-years (95% CI 2.8-3.1).
“Total follow-up time for all patients was 38,896 person-years with a recurrent firearm injury rate of 3.0 per 100 person-years (95% CI: 2.8-3.1).”
Quote in the paperSubstantial claim- Rests on an assumption: The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
May combine two claims.
Interpretationnone givenThe model used to classify encounters for acute injury rather than follow up of prior injury improves accurate identification of acute and recurrent firearm injuries from ICD codes alone and may be useful to other researchers.
“The model we used to classify encounters for acute injury rather than follow up of prior injury improves accurate identification of acute and recurrent firearm injuries from ICD codes alone and may be useful to other researchers.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationThe comprehensive and representative patient sample, data from multi-system adult and pediatric level I trauma hospitals, and linkage with the NDI strengthen the estimates provided by this study.
“The comprehensive and representative patient sample, data from multi-system adult and pediatric level I trauma hospitals, and linkage with the NDI strengthen the estimates provided by this study.32”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Census Reporter. St. Louis, MO-IL Metro Area. 2020-2021; https://censusreporter.org/profiles/31000US41180-st-louis-mo-il-metro-area/. Accessed December 7, 2022.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: The four St. Louis level I trauma hospitals care for the majority of violently injured patients in the St. Louis region.
Classified as probably not a substantial claim.
Study design and conductnone givenThis is a multi-center retrospective observational cohort study of all adult and pediatric patients who presented to a St. Louis level I trauma hospital for acute firearm injury care between January 1, 2010 and December 31, 2019.
“This is a multi-center retrospective observational cohort study of all adult and pediatric patients who presented to a St. Louis level I trauma hospital for acute firearm injury care between January 1, 2010 and December 31, 2019.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenSome patients likely sustained an index injury prior to 2010, which could underestimate recurrent injury rates over time.
“Additionally, some patients likely sustained an index injury prior to 2010, which could underestimate recurrent injury rates over time.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningIdentification of patients included in this cohort depended on accurate diagnostic coding, and it is possible that patients who presented with a firearm injury but did not receive a corresponding ICD diagnosis code were missed.
“Identification of patients included in this cohort depended on accurate diagnostic coding. It is possible that we missed patients who presented with a firearm injury, but did not receive a corresponding ICD diagnosis code.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataA small number of patients (n = 60) received HVIP services during the final 17 months of the study; removing these patients from the index study sample did not change the reinjury incidence reported above.
“A small number of patients (n = 60) received HVIP services during the final 17 months of our study; removing these patients from the index study sample did not change the reinjury incidence reported above.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe analyses are limited by the retrospective nature of the study design and potential misclassification bias.
“Our analyses are limited by the retrospective nature of this study design and potential misclassification bias.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataData were gathered from a single urban area, and may not be applicable to other geographic regions.
“Finally, data were gathered from a single urban area, and may not be applicable to other geographic regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFunders were not involved in the design, conduct, analysis, or reporting of the study.
“Funders were not involved in the design, conduct, analysis, or reporting of the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAcquisition of NDI data for out-of-hospital deaths was dependent on index injury patient identifiers, and thus not available for index fatal to nonfatal injury calculations.
“The fatal to non-fatal firearm injury ratio is presented for both index and recurrent injuries; however, acquisition of NDI data for out-of-hospital deaths was dependent on index injury patient identifiers, and thus not available for index fatal to nonfatal injury calculations.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The four St. Louis level I trauma hospitals care for the majority of violently injured patients in the St. Louis region.
“These hospitals care for the majority of violently injured patients in the St. Louis region, which spans Missouri and Illinois.”
“While we estimate that our partner hospitals, as the region’s level I trauma hospitals, care for most firearm injured patients either as their primary hospital site or on transfer for acute injury care from other non-trauma hospitals in the region”
The paper relies on this without support.
The Missouri Hospital Association universal identifier stably links patients across health systems and over time.
“The MHA computes and provides a stable universal identifier that links patients across health systems and over time.”
The authors state this as an assumption.
The CDC Social Vulnerability Index and US Census data are valid proxies for patient-level social determinants of health unavailable in the EHR.
“We utilized the CDC Social Vulnerability Index (SVI) and US Census data as proxies for patientlevel social determinants of health unavailable in the EHR.24,25”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These findings meaningfully impact the rigor of clinical research designed to evaluate the epidemiology of new and recurrent firearm injury encounters across populations as well as re-injury evaluations of violence and injury intervention programs.
“These findings also meaningfully impact the rigor of clinical research designed to evaluate the epidemiology of new and recurrent firearm injury encounters across populations as well as re-injury evaluations of violence and injury intervention programs (eg, hospital-based violence intervention programs).12”
From Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020 (2024) · cites this paper as [12]
ML has been used to classify new firearm injury encounters by our team and by one other published study.
“Machine learning (ML) has also been used to classify new firearm injury encounters by our team, and we are aware of one other published study that has also used ML to classify new firearm injury encounters.11,12”
From Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020 (2024) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract misstates the number who survived the index injury
MinorThe abstract says 9,553 patients survived the index injury, but the Results say 693 of 10,293 died, leaving 9,600 survivors. The analytic sample was 9,553 because another 47 patients lacked identifiers needed for follow-up.
“We identified 10,293 acutely firearm-injured patients of whom 9,553 survived the injury and comprised the analytic sample.”
“Of the 10,293 acute firearm injured patients, 693 suffered fatal injury and 47 were missing identifiers allowing follow-up within the STL-HVIP-DR or NDI, leaving 9,553 patients in the analytic sample at-risk for a recurrent firearm injury (Figure 1).”
Heading gives an inconsistent study end year
MinorThe heading gives the study period as 2010-1019, while the Methods state that it ended in 2019.
“# Incidence of and Factors Associated with Recurrent Firearm Injury Among Patients Presenting to St Louis Trauma Centers 2010-1019: A Cohort Study”
“between January 1, 2010 and December 31, 2019”
Conclusion gives a different recurrent-injury cohort size
MinorThe Conclusion describes 1,048 patients who experienced a recurrent firearm injury, whereas the Results report 1,155 such patients. No restriction explaining the smaller count is stated in the Conclusion.
“Racial inequities were even more pronounced among our cohort of 1,048 predominately Black men and children who survived their index firearm injury only to later return to the hospital or die from a recurrent firearm injury.”
“Of these, 1,155 had a recurrent firearm injury.”
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MethodInfluentialFirearm Violence Among High-Risk Emergency Department Youth After an Assault Injury
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Trends and Disparities in Firearm Fatalities in the United States, 1990-2021
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BackgroundTrauma Recidivism and Mortality Following Violent Injuries in Young Adults
Kao, A. M., Schlosser, K. A., Arnold, M. R., Kasten, K. R., Colavita, P. D., Davis, B. R., Sing, R. F., & Heniford, B. T. (2019) · Journal of Surgical Research · doi:10.1016/j.jss.2018.09.006 · Cited by 102 · cited 1× · see citing works
“All 302 32 (14) 283 (94) 19 (6) 31 (10) 269 (90) 1 (<1) Firearm injury† 149 (49) 25 (8) 146 (98) 3 (2) 2 (1) 145 (99) 1 (<1) Firearm suicide 5 (2) 28 (9) 5 (100) 0 (0) 3 (60) 2 (40) 0 (0) Suicide by other means‡ 2 (1) 28 (13) 2 (100) 0 (0) 0 (0) 2 (100) 0 (0) Drug overdose§ 64 (21) 31 (10) 53 (83) 11 (17) 11 (17) 53 (…”
Income inequality and firearm homicide in the US: a county-level cohort study
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Carter, P. M., Cook, L. J., Macy, M. L., Zonfrillo, M. R., Stanley, R. M., Chamberlain, J. M., Fein, J. A., Alpern, E. R., Cunningham, R. M., & the Pediatric Emergency Care Applied Research Network (PECARN) (2017) · Academic Emergency Medicine · doi:10.1111/acem.13200 · Cited by 95 · see citing works
A Population-Based Study of Trauma Recidivism
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ResultNeighborhood disadvantage and firearm injury: does shooting location matter?
Dalve, K., Gause, E. L., Mills, B. M., Floyd, A. S., Rivara, F. P., & Rowhani‐Rahbar, A. (2021) · Injury Epidemiology · doi:10.1186/s40621-021-00304-2 · Cited by 82 · cited 1× · see citing works
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Nation, M. A., Chapman, D. A., Edmonds, T., Cosey-Gay, F. N., Jackson, T., Marshall, K. J., Gorman‐Smith, D., Sullivan, T. N., & Trudeau, A.-R. T. (2021) · American Journal of Public Health · doi:10.2105/ajph.2021.306234 · Cited by 70 · cited 2× · see citing works
“…ethnic and racial groups that experience structural racism due to the enactment of current and historical policies that can lead to racial segregation, over-policing, restriction in access to services, and overall community disinvestment experience higher rates of fi rearm violence (6, 44, 45, 47).”
BackgroundThe Social Vulnerability Index and Long-term Outcomes After Traumatic Injury
Herrera‐Escobar, J. P., Uribe‐Leitz, T., Wang, Y., Orlas, C. P., Moheb, M. N. E., Lamarre, T. E., Ahmad, N., Hau, K. M., Jarman, M. P., Levy‐Carrick, N. C., et al. (2022) · Annals of Surgery · doi:10.1097/sla.0000000000005471 · Cited by 64 · cited 1× · see citing works
“The SVI was categorized based on quartiles into low (SVI <0.25), average (SVI between 0.25 and 0.75), and high (SVI >0.75) social vulnerability, as has been done in prior research (26, 27).”
MethodInfluentialLong-term mortality of patients surviving firearm violence
Fahimi, J., Larimer, E. L., Hamud-Ahmed, W., Anderson, E. S., Schnorr, C., Yen, I. H., & Alter, H. (2015) · Injury Prevention · doi:10.1136/injuryprev-2015-041710 · Cited by 54 · cited 1× · see citing works
“All 302 32 (14) 283 (94) 19 (6) 31 (10) 269 (90) 1 (<1) Firearm injury† 149 (49) 25 (8) 146 (98) 3 (2) 2 (1) 145 (99) 1 (<1) Firearm suicide 5 (2) 28 (9) 5 (100) 0 (0) 3 (60) 2 (40) 0 (0) Suicide by other means‡ 2 (1) 28 (13) 2 (100) 0 (0) 0 (0) 2 (100) 0 (0) Drug overdose§ 64 (21) 31 (10) 53 (83) 11 (17) 11 (17) 53 (…”
Firearm violence against children in the United States: Trends in the wake of the COVID-19 pandemic
Donnelly, M., Grigorian, A., Swentek, L., Arora, J. S., Kuza, C. M., Inaba, K., Kim, D. S., Lekawa, M. E., & Nahmias, J. T. (2021) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0000000000003347 · Cited by 53 · see citing works
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BackgroundPediatric gunshot wound recidivism: Identification of at-risk youth
Gibson, P. D., Ippolito, J. A., Shaath, M. K., Campbell, C. L., Fox, A. D., & Ahmed, I. (2016) · Journal of Trauma and Acute Care Surgery · doi:10.1097/ta.0000000000001072 · Cited by 45 · cited 1× · see citing works
“Insurance, n (%) No insurance 5119 (50) 4003 (48) 581 (50) Medicare/Medicaid/other government 3363 (33) 2795 (33) 424 (37) All other private 1809 (18) 1598 (19) 150 (13)”
Marshall, W. A., Egger, M. E., Pike, A., Bozeman, M. C., Franklin, G. A., Nash, N. A., Smith, J. W., Richardson, J. D., Harbrecht, B. G., Benns, M. V., et al. (2020) · Journal of Trauma and Acute Care Surgery · doi:10.1097/ta.0000000000002746 · Cited by 45 · cited 1× · see citing works
“Among the 4 studies that conducted a survival analysis, cumulative incidence for recurrent firearm injuries ranged from approximately 2% after 5 years to 16% after 10 years (17, 18, 41, 43).”
BackgroundParents’ Expectations of High Schools in Firearm Violence Prevention
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“determinants of health unavailable in the electronic health record (24, 25).”
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“Among the 4 studies that conducted a survival analysis, cumulative incidence for recurrent firearm injuries ranged from approximately 2% after 5 years to 16% after 10 years (17, 18, 41, 43).”
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Hospital-Based Violence Prevention: Progress and Opportunities
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“…community-based case management to violently injured patients, HVIPs engage patients shortly after hospital-based care for a violent injury (54, 55) and may mitigate the secondary effects of violence through counseling and service provision (for example, posttraumatic stress disorder,…”
BackgroundFirearm injuries in the pediatric population
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“(14).”
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“Although we estimate that our partner hospitals, as the region ’ s level I trauma hospitals, care for most fi rearm-injured patients either as their primary hospital site or on transfer for acute injury care from other nontrauma hospitals in the region, it is likely that our results undercount minor fi rearm injuries th…”
BackgroundMethodInfluentialSelf-citationA Cross-Sectional Study of Firearm Injuries in Emergency Department Patients.
(2018) · Europe PMC (PubMed Central) · Cited by 28 · see citing works
Self-citationPediatric trauma recidivism in an urban cohort
Davis, J. S., Pandya, R. K., Sola, J. E., Perez, E. A., Neville, H. L., & Schulman, C. I. (2013) · Journal of Surgical Research · doi:10.1016/j.jss.2012.12.007 · Cited by 27 · cited 1× · see citing works
“SVI category, n (%) Low 774 (8) 655 (8) 53 (5) Average 3323 (34) 2763 (34) 335 (30) High 5670 (58) 4613 (57) 732 (65)”
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“Race, n (%) White 1197 (12) 1077 (13) 49 (4) Black 8783 (87) 7082 (86) 1095 (96) American Indian/Alaska Native 4 (0) 4 (0) N/A Asian 20 (0.”
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“Among the 4 studies that conducted a survival analysis, cumulative incidence for recurrent fi rearm injuries ranged from approximately 2% after 5 years to 16% after 10 years (17, 18, 41, 43).”
BackgroundResultStructural Causes of Urban Firearm Violence
Beard, J. H., & Sims, C. A. (2017) · JAMA Surgery · doi:10.1001/jamasurg.2016.5752 · Cited by 13 · cited 2× · see citing works
“Gender, n (%) Male 8887 (86) 7172 (85) 1078 (93) Female 1398 (14) 1222 (15) 76 (7)”
Criminal Behavior and Repeat Violent Trauma
Nanney, J. T., Conrad, E. J., McCloskey, M., & Constans, J. I. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.02.021 · Cited by 11 · see citing works
Mayfield, C. A., Siegal, R., Herring, M. H., Campbell, T., Clark, C. L., & Langhinrichsen‐Rohling, J. (2021) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000001426 · Cited by 11 · cited 1× · see citing works
“Hospital type, n (%) Adult hospital 9166 (89) 7435 (89) 1033 (89) Pediatric hospital 1127 (11) 963 (11) 122 (11)”
Cunningham, R. M., Lee, D., & Carter, P. M. (2022) · JAMA · doi:10.1001/jama.2022.16897 · Cited by 5 · cited 1× · see citing works
“Providing a range of services through community-based case management to violently injured patients, HVIPs engage patients shortly after hospitalbased care for a violent injury (54, 55) and may mitigate the secondary effects of violence through counseling and service provision (for example, posttraumatic stress disord…”
BackgroundMueller, K. L., Cooper, B. P., Moran, V. L., Mancini, M. A., & Foraker, R. E. (2022) · Injury Prevention · doi:10.1136/injuryprev-2021-044516 · Cited by 2 · cited 2× · see citing works
“In addition, we queried the National Death Index (NDI) data to identify recurrent firearm injury patients who died in the prehospital setting (22, 23).”
MethodSelf-citation
Flagged first, then by citations
Research works printed but not linked: 1
- de Anda H, 2018, Mo Med, 115, 456
Cited by
Sorted by citations
Giraldi, D. M., Swingler, S., Kirk, D. S., Jacoby, S. F., Melendez-Torres, G. J., Kaufman, E. J., & Humphreys, D. K. (2025) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2025.101091 · Cited by 14 · see citing works
“Utility of social vulnerability index in trauma: A systematic review”
Duncan, A. J., Bloomsburg, S. J., & Ahmeti, M. (2024) · Injury · doi:10.1016/j.injury.2024.112016 · Cited by 12 · see citing works
Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020
Ancona, R. M., Cooper, B. P., Foraker, R., Kaser, T., Adeoye, O., & Mueller, K. L. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae173 · Cited by 7 · see citing works
“12 It is important to note, however, that a limitation of our study (and indeed the majority of firearm injury research) is the lack of data on patients who sought care at a non-trauma hospital or non-acute care as well as those who did not seek medical care at all.”
BackgroundResultSelf-citationEvaluation of a Region-Wide Hospital-Based Violence Intervention Program
Mueller, K. L., Kaser, T., Cooper, B. P., Lew, D., Moran, V. L., Ancona, R. M., Chapman-Kramer, K., Coffey, M., Page, K., Batha, A., et al. (2025) · Annals of Internal Medicine · doi:10.7326/annals-24-01576 · Cited by 7 · see citing works
Self-citationFactors Associated With Recurrent Pediatric Firearm Injury
Miller, Z. M., Cooper, B. P., Lew, D., Ancona, R. M., Moran, V. L., Behr, C. A., Spruce, M. W., Kranker, L. M., Mancini, M. A., Vogel, M., et al. (2024) · Annals of Internal Medicine · doi:10.7326/m24-0430 · Cited by 4 · see citing works
Self-citationPsychiatric and Substance Use Disorders After Nonfatal Firearm Injury
Koh, K. A., Giuriato, M., Sacks, C. A., Zubizarreta, J. R., & Song, Z. (2025) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2025.2110 · Cited by 4 · see citing works
Personal goals of young survivors of violent injury: implications for practice
Miller, Z. M., Chapman-Kramer, K., Cooper, B. P., Coffey, M., Page, K., Meyers, J. E., Vogel, M., Mancini, M. A., & Mueller, K. L. (2024) · Injury Prevention · doi:10.1136/ip-2023-045032 · Cited by 4 · see citing works
Self-citationCorrelation of Ultrasound and Electrodiagnostic Evaluation in Ballistic Peripheral Nerve Injuries
Mologne, M. S., Randall, Z. D., Olafsen, N. P., et al. (2025) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000006846 · Cited by 4 · see citing works
Hartline, J. T., Cosgrove, C. T., O’Hara, N. N., et al. (2023) · Injury · doi:10.1016/j.injury.2023.111177 · Cited by 4 · see citing works
Firearm Screening and Gun Lock Distribution in an Urban, Academic Pediatric Emergency Department
Timm, T., Mueller, K. L., Lim, M., An, M. L., Jamro-Comer, E., Ahmad, F. A., & Clukies, L. (2025) · Pediatric Emergency Care · doi:10.1097/pec.0000000000003384 · Cited by 3 · see citing works
Self-citationMultisite External Validation of a Clinical Screening Tool for Interpersonal Firearm Violence Risk
Goldstick, J. E., Carter, P. M., Delgado, M. K., Whiteside, L., & Cunningham, R. M. (2026) · Annals of Internal Medicine · doi:10.7326/annals-25-03950 · Cited by 3 · see citing works
Cosey-Gay, F. N., Colt, S., Johnson, D., et al. (2024) · Springer eBooks · doi:10.1007/978-3-031-66524-0_6 · Cited by 2 · see citing works
Ortiz, D., Magee, L. A., Durbin, H., Beverly, A. W., Beverly, B., & Simons, C. J. (2025) · Public Health · doi:10.1016/j.puhe.2025.105791 · Cited by 1 · see citing works
Wu, S. A., Soetikno, A. G., Sheehan, K., & Lundberg, A. L. (2026) · BMC Public Health · doi:10.1186/s12889-026-27469-z
Spruce, M. W., Freeman, M. N., Kranker, L. M., Moran, V. L., Behr, C. A., Lew, D., Cooper, B. P., & Mueller, K. L. (2026) · JEM Reports · doi:10.1016/j.jemrpt.2026.100254
Self-citationContreras, L. M., Constans, J. I., Taghavi, S., Theall, K. P., Kaser, T., & Fleckman, J. M. (2026) · Youth · doi:10.3390/youth6020074
“This pattern of repeat injury aligns with the prior literature demonstrating that individuals who experience violent injury face a substantially elevated risk of subsequent victimization (Mueller et al., 2023).”
Initial Injury Type and Violent Reinjury
Szoko, N., Lew, D., Kaser, T., Miller, Z. M., Vogel, M., Mancini, M. A., Kranker, L. M., Behr, C. A., Moran, V. L., Ancona, R. M., et al. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.18199
Self-citationThe Crisis of Adolescent Firearm Reinjury: A 14-Year Retrospective Cohort Analysis
Mueller, K. L., Lew, D., Szoko, N., Miller, Z. M., Kaser, T., Cooper, B. P., Behr, C. A., Clukies, L., Finney, J. D., Spruce, M. W., et al. (2026) · Hospital Pediatrics · doi:10.1542/hpeds.2026-009207
Self-citationJohnson, L., Kaser, T., Miller, Z. M., Cooper, B. P., Chapman-Kramer, K., Coffey, M. D. H., Page, K., Eswaran, V., Szoko, N., Mancini, M. A., et al. (2026) · Trauma Surgery & Acute Care Open · doi:10.1136/tsaco-2025-002073
Self-citationTrauma Recidivism Following Implementation of a Hospital-Linked Community-Based Violence Program
Nguyen, A. T., Gerken, A., Joshy, J., LeMaitre, V., Schwindt, D. P., Torres, K. A., Cheng, A., Jones, M., Thompson, L. S., Humphries, K., et al. (2026) · Journal of Surgical Research · doi:10.1016/j.jss.2026.07.018
Patterns of Firearm Injury Across a Rural State: A 10-Year Single Center Experience
Paredes, L. G., Falank, C. R., Morse, B. C., Ontengco, J. B., & Turner, C. G. (2026) · The American Surgeon · doi:10.1177/00031348261480843
- Authors
- Mueller, K. L., Cooper, B. P., Moran, V., Lew, D., Ancona, R., Landman, J. M., Spruce, M., Marotta, P., Liss, D. B., Mancini, M. A., Schuerer, D., Ranney, M. E., & Foraker, R. E.
- Affiliations
- Washington University in St. Louis (US)
- Saint Louis University (US)
- School of Public Health, Yale University, New Haven, Connecticut (M.E.R.).
- ORCID
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2023-09
- Volume
- 176
- Issue
- 9
- Pages
- 1163-1171
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- PMC
- PMC11620286
- OpenAlex
- W4386226028
- Cited by
- 21
- References
- 42
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 5 · 2023: 1
- FWCI
- 5.31
- Type
- journal article
- Language
- en
- Open access
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- PubMed Central (submittedVersion)
- Funders
- Washington University in St. Louis
- Missouri Foundation for Health
- Centers for Disease Control and Prevention
- National Center for Advancing Translational Sciences (UL1TR002345)
- Topics
- Social Sciences › Health › Gun Ownership and Violence Research
- Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Injury Epidemiology and Prevention
- Keywords
- firearm injuries, firearm suicide, social vulnerability, Social Vulnerability Index, uninsured patients, racial disparities, trauma survivors, risk factors, firearm injury prevention, St. Louis
- MeSH terms
- Child, Female, Firearms, Humans, Male, Suicide, Trauma Centers, United States, Wounds, Gunshot, Cohort Studies, Incidence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-27.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-27.
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