Evidence map›Paper›PMID 36597640›Full record

ArticleNeurospine2022

Risk Analysis Index and Its Recalibrated Version Predict Postoperative Outcomes Better Than 5-Factor Modified Frailty Index in Traumatic Spinal Injury.

Matthew Conlon, Rachel Thommen, Syed Faraz Kazim, Alis J Dicpinigaitis, Meic H Schmidt, Rohini G McKee, Christian A Bowers

Abstract read
In one paragraph

Article in Neurospine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
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  5. ACDF and cervical disc replacement for single-level cervical spine degenerative disease: a frailty driven propensity score-matched comparative analysis.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
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  7. Predictive value of the risk analysis index for 30-day mortality following surgical management of thoracolumbar vertebral body fractures.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
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  15. National assessment of frailty impact on endovascular mechanical thrombectomy for minor to moderately severe large vessel occlusions per NIHSS.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  16. Utility of Revised Risk Analysis Index as a Predictor of Mortality and Morbidity in Orthopaedic Trauma.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
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  19. Predictive ability of frailty scores in surgically managed patients with traumatic spinal injuries: a TQIP analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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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

7 authors.

Matthew ConlonSchool of Medicine, New York Medical College, Valhalla, NY, USA.
Rachel ThommenSchool of Medicine, New York Medical College, Valhalla, NY, USA.
Syed Faraz KazimDepartment of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA.
Alis J DicpinigaitisSchool of Medicine, New York Medical College, Valhalla, NY, USA.
Meic H SchmidtDepartment of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA.
Rohini G McKeeDepartment of Surgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA.
Christian A BowersDepartment of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the discriminative ability of the Risk Analysis Index-administrative (RAI-A) and its recalibrated version (RAI-Rev), compared to the 5-factor modified frailty index (mFI-5), in predicting postoperative outcomes in patients undergoing surgical intervention for traumatic spine injuries (TSIs).

methodsThe Current Procedural Terminology (CPT) and International Classification of Disease-9 (ICD-9) and ICD-10 codes were used to identify patients ≥ 18 years who underwent surgical intervention for TSI from National Surgical Quality Improvement Program (ACS-NSQIP) database 2015-2019 (n = 6,571). Multivariate analysis and receiver operating characteristic (ROC) curve analysis were conducted to evaluate the comparative discriminative ability of RAI-Rev, RAI-A, and mFI-5 for 30-day postoperative outcomes.

resultsMultivariate regression analysis showed that with all 3 frailty scores, increasing frailty tiers resulted in worse postoperative outcomes, and patients identified as frail and severely frail using RAI-Rev and RAI-A had the highest odds of poor outcomes. In the ROC curve/C-statistics analysis for prediction of 30-day mortality and morbidity, both RAI-Rev and RAI-A outperformed mFI-5, and for many outcomes, RAI-Rev showed better discriminative performance compared to RAI-A, including mortality (p = 0.0043, DeLong test), extended length of stay (p = 0.0042), readmission (p < 0.0001), reoperation (p = 0.0175), and nonhome discharge (p < 0.0001).

conclusionBoth RAI-Rev and RAI-A performed better than mFI-5, and RAI-Rev was superior to RAI-A in predicting postoperative mortality and morbidity in TSI patients. RAI-based frailty indices can be used in preoperative risk assessment of spinal trauma patients.

Indexed as

FrailtyModified frailty indexRisk Analysis Index-administrativeRisk Analysis Index-revisedSpinal trauma

Identifiers

PMID36597640
PMCPMC9816576

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Registered trials

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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.