The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Validating Trauma-Specific Frailty Index for Geriatric Trauma Patients: A Prospective Analysis
Abstract
BACKGROUND: The Frailty Index has been shown to predict discharge disposition in geriatric patients. The aim of this study was to validate the modified 15-variable Trauma-Specific Frailty Index (TSFI) to predict discharge disposition in geriatric trauma patients. We hypothesized that TSFI can predict discharge disposition in geriatric trauma patients. STUDY DESIGN: We performed a 2-year (2011-2013) prospective analysis of all geriatric trauma patients presenting to our Level I trauma center. Patient discharge disposition was dichotomized into unfavorable (discharge to skilled nursing facility or death) and favorable (discharge to home or rehabilitation center) discharge disposition. Patients were evaluated using the developed 15-variable TSFI. Multivariate logistic regression was performed to identify factors that predict unfavorable discharge disposition. RESULTS: A total of 200 patients were enrolled for validation of TSFI. Mean age was 77 ± 12.1 years, median Injury Severity Score was 15 (interquartile range [IQR] 9 to 20), median Glasgow Coma Scale score was 14 (IQR 13 to 15), and median Frailty Index score was 0.20 (IQR 0.17 to 0.28); 29.5% (n = 59) patients had unfavorable discharge. After adjusting for age, sex, Injury Severity Score, Head Abbreviated Injury Scale, and vitals on admission, Frailty Index (odds ratio = 1.5; 95% CI, 1.1-2.5) was the only significant predictor for unfavorable discharge disposition. Age (odds ratio = 1.2; 95% CI, 0.9-3.1; p = 0.2) was not predictive of unfavorable discharge disposition. CONCLUSIONS: The 15-variable TSFI is an independent predictor of unfavorable discharge disposition in geriatric trauma patients. The Trauma-Specific Frailty Index is an effective tool that can aid clinicians in planning discharge disposition of geriatric trauma patients. LEVEL OF EVIDENCE: II Prognostic Studies-Investigating the Effect of a Patient Characteristic on the Outcome of Disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
Boyd, C. M., Darer, J., Boult, C., Fried, L. P., Boult, L., & Wu, A. W. (2005) · JAMA · doi:10.1001/jama.294.6.716 · Cited by 2,581
A comparison of two approaches to measuring frailty in elderly people
Rockwood, K., Andrew, M., & Mitnitski, A. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.7.738 · Cited by 1,291
Fried, L. P. (1998) · JAMA · doi:10.1001/jama.279.8.585 · Cited by 1,107
Walston, J. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.20.2333 · Cited by 940
Leng, S. X., Cappola, A. R., Andersen, R. E., Blackman, M. R., Koenig, K., Blair, M., & Walston, J. D. (2004) · Aging Clinical and Experimental Research · doi:10.1007/bf03324545 · Cited by 270
Cited by
Falls in Older Adults are Serious
Vaishya, R., & Vaish, A. (2020) · Indian Journal of Orthopaedics · doi:10.1007/s43465-019-00037-x · Cited by 339
What do we know about frailty in the acute care setting? A scoping review
Theou, O., Squires, E., Mallery, K., Lee, J. S., Fay, S., Goldstein, J., Armstrong, J. J., & Rockwood, K. (2018) · BMC Geriatrics · doi:10.1186/s12877-018-0823-2 · Cited by 312
Frailty for Surgeons: Review of a National Institute on Aging Conference on Frailty for Specialists
Robinson, T. N., Walston, J. D., Brummel, N. E., Deiner, S., Brown, C. H., Kennedy, M., & Hurria, A. (2015) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2015.08.428 · Cited by 304
The impact of functional dependence and related surgical complications on postoperative mortality
Clifton, J. C., Engoren, M., Shotwell, M. S., Martin, B. J., Clemens, E. M., Guillamondegui, O. D., & Freundlich, R. E. (2022) · Journal of Medical Systems · doi:10.1007/s10916-021-01779-8 · Cited by 16
Metadata
- Authors
- Joseph, B., Pandit, V., Zangbar, B., Kulvatunyou, N., Tang, A., O'Keeffe, T., Green, D. J., Vercruysse, G., Fain, M. J., Friese, R. S., & Rhee, P.
- Venue
- Journal of the American College of Surgeons
- Published
- 2014-07
- Volume
- 219
- Issue
- 1
- Pages
- 10-17e1
- ISSN
- 1072-7515 (ISSN-L)
- OpenAlex
- W2087391363
- Cited by
- 285
- References
- 6
- FWCI
- 9.45
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Validating Trauma-Specific Frailty Index for Geriatric Trauma Patients: A Prospective Analysis. https://app.cochat.ai/papers/10.1016/j.jamcollsurg.2014.03.020
- The paper
- Joseph, B., Pandit, V., Zangbar, B., Kulvatunyou, N., Tang, A., O'Keeffe, T., Green, D. J., Vercruysse, G., Fain, M. J., Friese, R. S., & Rhee, P. (2014). Validating Trauma-Specific Frailty Index for Geriatric Trauma Patients: A Prospective Analysis. Journal of the American College of Surgeons. https://doi.org/10.1016/j.jamcollsurg.2014.03.020
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.