Evidence map›Paper›PMID 32720267›Full record

ArticleSpine deformity2020

Comparing short-term AIS post-operative complications between ACS-NSQIP and a surgeon study group.

Jennifer M Bauer, Suken A Shah, Paul D Sponseller, Amer F Samdani, Peter O Newton, Michelle C Marks, Baron S Lonner, Burt Yaszay, Harms Study Group

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Article in Spine deformity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

9 authors.

Jennifer M BauerDept. of Orthopaedic Surgery, Seattle Children's Hospital, University of Washington, 4800 Sand Point Way NE, Seattel, WA, 98105, USA. jennifer.bauer@seattlechildrens.org.ORCID http://orcid.org/0000-0001-5326-8383
Suken A ShahNemours/AI duPont Hospital for Children, Wilmington, USA.
Paul D SponsellerJohns Hopkins University Medical Center, Baltimore, USA.
Amer F SamdaniPhiladelphia Shriners Hospital for Children, Philadelphia, USA.
Peter O NewtonRady Children's Hospital, Encinitas, USA.
Michelle C MarksSetting Scoliosis Straight Foundation, San Diego, USA.
Baron S LonnerMount Sinai Hospital, New York, USA.
Burt YaszayRady Children's Hospital, Encinitas, USA.
Harms Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designProspective cohort review.

objectiveTo compare two AIS databases to determine if a performance improvement-based surgeon group has different outcomes compared to a national database. The American College of Surgeon's National Quality Improvement Program (ACS-NSQIP) and a surgeon study group (SG) collect prospective data on AIS surgery outcomes. NSQIP offers open enrollment to all institutions, and SG membership is limited to 15 high-volume institutions, with a major initiative to improve surgeon performance. While both provide important outcome benchmarks, they may reflect outcomes that are not relatable nationwide.

methodsThe ASC-NSQIP Pediatric Spine Fusion and SG database were queried for AIS 30- and 90-day complication data for 2014 and 2015. Prospective enrollment and a dedicated site coordinator with rigorous data quality assurance protocols existed for both registries. Outcomes were compared between groups with respect to superficial and deep surgical site infections (SSI), neurologic injury, readmission, and reoperation.

resultsThere were a total of 2927 AIS patients included in the ASC-NSQIP data and 721 in the SG database. Total complication rate was 9.4% NSQIP and 3.6% SG. At 90 days, there were fewer surgical site infections reported by SG than ASC-NSQIP (0.6% vs. 1.6%, p = 0.03). Similarly, there were less spinal cord injuries (0.8% vs 1.5%, p = 0.006), 30-day readmissions (0.8% vs. 2.6%, p = 0.002), and 30-day reoperations (0.6% vs. 1.7%, p = 0.02) in the SG cohort.

conclusionsComparison of these two data sets suggests a range of complications and readmission rates, with the SG demonstrating lower values. These results are likely multi-factorial with the performance improvement initiative of the SG playing a role. Understanding the rate and ultimate risk factors for readmission and complications from big data sources has the potential to further drive quality improvement. LEVEL OF EVIDENCE: III.

Indexed as

Clinical CompetenceQuality Assurance, Health CareQuality ImprovementQuality of Health CareSpinal FusionAdolescentChildDatabases, FactualFemaleHumansMalePatient ReadmissionPostoperative ComplicationsProspective StudiesRisk FactorsScoliosisAISNSQIPPediatric scoliosisPediatric spine fusionSpine complications

Identifiers

PMID32720267

What OpenQuestion holds

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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.