Evidence map›Paper›PMID 37351116›Full record

ArticlePlastic and reconstructive surgery. Global open2023

Preoperative Frailty Risk in Cranioplasty Patients: Risk Analysis Index Predicts Adverse Outcomes.

Addi N Moya, Oluwafemi P Owodunni, Joshua L Harrison, Shawhin R Shahriari, Anil K Shetty, Gregory L Borah, Meic H Schmidt, Christian A Bowers

Erratum issuedAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Frailty Screening Using the Risk Analysis Index: A User Guide.Joint Commission journal on quality and patient safety · 2025
    Pooled it
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Addi N MoyaFrom the University of New Mexico School of Medicine, Albuquerque, N.M.
Oluwafemi P OwodunniDepartment of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Joshua L HarrisonDepartment of Surgery, Division of Plastic, Reconstructive, Hand and Burn Surgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Shawhin R ShahriariDepartment of Surgery, Division of Plastic, Reconstructive, Hand and Burn Surgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Anil K ShettyDepartment of Surgery, Division of Plastic, Reconstructive, Hand and Burn Surgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Gregory L BorahDepartment of Surgery, Division of Plastic, Reconstructive, Hand and Burn Surgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Meic H SchmidtDepartment of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, N.M.
Christian A BowersDepartment of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, N.M.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cranioplasty is a common surgical procedure used to repair cranial defects, and it is associated with significant morbidity and mortality. Although frailty is a strong predictor of poor postoperative outcomes across surgical specialties, little is known about frailty's impact on cranioplasty outcomes. This study examined the association between frailty and cranioplasty by comparing the effect of the Risk Analysis Index-Administrative (RAI-A) and the Modified Frailty Index-5 (mFI-5) on cranioplasty outcomes. Methods: The National Surgical Quality Improvement Program was queried for patients undergoing cranioplasty between 2012 and 2020. Receiver operating characteristics and multivariable analyses were used to assess the relationship of postoperative outcomes and the RAI-A, mFI-5, and increasing patient age. Results: There were 2864 included study patients with a median age of 57 years (IQR, 44-67), and a higher proportion of patients were women (57.0%) and White (68.5%). The RAI-A had a more robust predictive ability for 30-day mortality (C-Statistic, 0.741; 95% confidence interval (CI), 0.678-0.804) compared with mFI-5 (C-Statistic, 0.574; 95% CI, 0.489-0.659) and increasing patient age (C-Statistic, 0.671; 95% CI, 0.610-0.732). On multivariable analyses, frailty was independently associated with mortality and other poor postoperative outcomes ( Conclusions: The RAI-A demonstrated superior discrimination than the mFI-5 and increasing patient age in predicting mortality. Additionally, the RAI-A showed independent associations with nonhome discharge and postoperative complications (CDII, CDIIIb, and CDIV). The high rates of operative morbidity (5.0%-36.5%) and mortality (0.4%-3.2%) after cranioplasty highlight the importance of identifying independent risk factors for poor cranioplasty outcomes.

Identifiers

PMID37351116
PMCPMC10284328

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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.