Evidence map›Paper›PMID 40853456›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Predictive value of the risk analysis index for 30-day mortality following surgical management of thoracolumbar vertebral body fractures.

Stefan Prvulovic, Nithin Gupta, Sina Zhogi, Charles Bowers, Kishan Shah, Alfred Marcinkowski, Anjali Gupta, Christian Bowers

Abstract read
PubMed Publisher
In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

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

8 authors.

Stefan PrvulovicBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, USA. sp1308@georgetown.edu.
Nithin GuptaBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, USA. nithin.gupta@jefferson.edu.
Sina ZhogiBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, USA.
Charles BowersBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, USA.
Kishan ShahGeorgetown University School of Medicine, Washington DC, USA.
Alfred MarcinkowskiSt. George's University School of Medicine, West Indies, Grenada.
Anjali GuptaCampbell University School of Osteopathic Medicine, Lillington, USA.
Christian BowersBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFrailty has emerged as a key predictor of postoperative outcomes, with indices like the revised Risk Analysis Index (RAI) and the modified Frailty Index (mFI-5) used for assessment. The purpose of this study was to compare the predictive value and discriminatory accuracy of the mFI-5 and RAI for adverse outcomes following surgical management of thoracolumbar (TL) spine fractures.

methodsThis was a retrospective cohort study utilizing data from the 2015-2019 years of the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. Patients were categorized using the RAI and mFI-5 frailty indices. The primary outcome was 30-day mortality and secondary outcomes included non-home discharge, extended hospital stays, and postoperative complications. Logistic regression was used to analyze the predictive value of frailty and discriminatory accuracy was assessed using receiver operating curve analysis.

resultsThere were 42,230 patients (median age = 64 years) included in this study. Increasing frailty was a significant predictor of greater odds for 30-day mortality. The RAI demonstrated superior discriminatory accuracy for 30-day mortality (C-statistic = 0.82) compared to both mFI-5 (C-statistic = 0.63) and age alone (C-statistic = 0.66).

conclusionThe RAI is a more effective tool than the mFI-5 and age alone for preoperative frailty-based risk stratification in TL fracture patients, particularly in predicting 30-day mortality. Incorporating the RAI into clinical practice may improve preoperative informed consent, surgical candidate selection, and patient outcomes.

Indexed as

FrailtyLumbar VertebraePostoperative ComplicationsSpinal FracturesThoracic VertebraeVertebral BodyAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentCompression fractureFrailtyRAIRisk analysis index

Identifiers

What OpenQuestion holds

Textmetadata
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.