Evidence map›Paper›PMID 24846014›Full record

ArticleBurns : journal of the International Society for Burn Injuries2014

Predicting mortality from burns: the need for age-group specific models.

Sandra L Taylor, MaryBeth Lawless, Terese Curri, Soman Sen, David G Greenhalgh, Tina L Palmieri

Abstract read
In one paragraph

Article in Burns : journal of the International Society for Burn Injuries, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Trial
  2. Article
  3. Impaired intestinal cell proliferation parallels increased senescence after burn injury in aged mice.American journal of physiology. Gastrointestinal and liver physiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Reducing the excessive inflammation after burn injury in aged mice by maintaining a healthier intestinal microbiome.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  8. Best of Both Worlds: Bridging One Model for All and Group-Specific Model Approaches using Ensemble-based Subpopulation Modeling.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  9. Clinical Profile of Children with Burns in a Tertiary Care Hospital.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  10. [Research advances on prognosis-related forecasting models for burn patients].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2023
    Article
  11. Article
  12. Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients.International journal of environmental research and public health · 2022
    Article
  13. Age and Injury Size Influence the Magnitude of Fecal Dysbiosis in Adult Burn Patients.Journal of burn care & research : official publication of the American Burn Association · 2022
    Article
  14. Prognostic Factors for In-Hospital Mortality of Geriatric Burns From the US National Inpatient Sample 2016 to 2018.Journal of burn care & research : official publication of the American Burn Association · 2022
    Article
  15. Article
  16. Epidemiological and clinical characteristics and outcomes of inpatient burn injuries in older adults: Factors associated with mortality.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2022
    Article
  17. Article
  18. Advanced age heightens hepatic damage in a murine model of scald burn injury.The journal of trauma and acute care surgery · 2021
    Article
  19. Article
  20. Article
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

6 authors.

Sandra L TaylorUniversity of California Davis, Sacramento, CA, United States.
MaryBeth LawlessUniversity of California Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States.
Terese CurriUniversity of California Davis, Sacramento, CA, United States.
Soman SenUniversity of California Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States.
David G GreenhalghUniversity of California Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States.
Tina L PalmieriUniversity of California Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States. Electronic address: tina.palmieri@ucdmc.ucdavis.edu.

Funding

UC DAVIS CLINICAL AND TRANSLATIONAL SCIENCE CENTER: BPCAUL1RR024146 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2006 to 2011
$27.0M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
NCATS NIH HHS UL1 TR000002NCRR NIH HHS UL1 RR024146
6 · The paper itself

Abstract

Traditional burn mortality models are derived using all age groups. We hypothesized that age variably impacts mortality after burn and that age-specific models for children, adults, and seniors will more accurately predict mortality than an all-ages model. We audited data from the American Burn Association (ABA) National Burn Repository (NBR) from 2000 to 2009 and used mixed effect logistic regression models to assess the influence of age, total body surface area (TBSA) burn, and inhalation injury on mortality. Mortality models were constructed for all ages and age-specific models: children (<18 years), adults (18-60 years), and seniors (>60 years). Model performance was assessed by area under the receiver operating curve (AUC). Main effect and two-way interactions were used to construct age-group specific mortality models. Each age-specific model was compared to the All Ages model. Of 286,293 records 100,051 had complete data. Overall mortality was 4% but varied by age (17% seniors, <1% children). Age, TBSA, and inhalation injury were significant mortality predictors for all models (p<0.05). Differences in predicted mortality between the All Ages model and the age-specific models occurred in children and seniors. In the age-specific pediatric model, predicted mortality decreased with age; inhalation injury had greater effect on mortality than in the All Ages model. In the senior model mortality increased with age. Seniors had greater increase in mortality per 1% increment in burn size and 1 year increase in age than other ages. The predicted mortality in seniors using the senior-specific model was higher than in the All Ages model. "One size fits all" models for predicting burn outcomes do not accurately reflect the outcomes for seniors and children. Age-specific models for children and seniors may be advisable.

Indexed as

Models, StatisticalAdolescentAdultAgedAged, 80 and overAge FactorsBody Surface AreaBurnsBurns, InhalationChildChild, PreschoolFemaleHumansLogistic ModelsMaleMiddle AgedBurnsModelMortality

Identifiers

PMID24846014
PMCPMC4143432

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.