Evidence map›Paper›PMID 30852687›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 Society2019

A validated preoperative score for predicting 30-day readmission after 1-2 level elective posterior lumbar fusion.

Deeptee Jain, Paramjit Singh, Mayur Kardile, Sigurd H Berven

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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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Effect of Bone Health Optimization on Osteoporosis Screening and Treatment Before Thoracolumbar Fusion.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
    Article
  6. Article
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

4 authors at 1 institution in 1 country.

Deeptee JainDepartment of Orthopaedic Surgery, University of California, San Francisco, 500 Parnassus Avenue, MU West 321, Box 0728, San Francisco, CA, 94143, USA. deeptee.jain@gmail.com.ORCID http://orcid.org/0000-0002-9576-9722
Paramjit SinghDepartment of Orthopaedic Surgery, University of California, San Francisco, 500 Parnassus Avenue, MU West 321, Box 0728, San Francisco, CA, 94143, USA.
Mayur KardileDepartment of Orthopaedic Surgery, University of California, San Francisco, 500 Parnassus Avenue, MU West 321, Box 0728, San Francisco, CA, 94143, USA.
Sigurd H BervenDepartment of Orthopaedic Surgery, University of California, San Francisco, 500 Parnassus Avenue, MU West 321, Box 0728, San Francisco, CA, 94143, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a model to predict 30-day readmission rates in elective 1-2 level posterior lumbar spine fusion (PSF) patients.

methodsIn this retrospective case control study, patients were identified in the State Inpatient Database using ICD-9 codes. Data were queried for 30-day readmission, as well as demographic and surgical data. Patients were randomly assigned to either the derivation or the validation cohort. Stepwise multivariate analysis was conducted on the derivation cohort to predict 30-day readmission. Readmission after posterior spinal fusion (RAPSF) score was created by including variables with odds ratio (OR) > 1.1 and p < 0.01; value assigned to each variable was based on the OR and calibrated to 100. Linear regression was performed between readmission rate and RAPSF score to test correlation in both cohorts.

resultsThere were 92,262 and 90,257 patients in the derivation and validation cohorts. Thirty-day readmission rates were 10.9% and 11.1%, respectively. Variables in RAPSF included: age, female gender, race, insurance, anterior approach, cerebrovascular disease, chronic pulmonary disease, congestive heart failure, diabetes, hemiplegia/paraplegia, rheumatic disease, drug abuse, electrolyte disorder, osteoporosis, depression, obesity, and morbid obesity. Linear regression between readmission rate and RAPSF fits the derivation cohort and validation cohort with an adjusted r

conclusionThe RAPSF can accurately predict readmission rates in PSF patients and may be used to guide an evidence-based approach to preoperative optimization and risk adjustment within alternative payment models for elective spine surgery. LEVEL OF EVIDENCE: 3. These slides can be retrieved under Electronic Supplementary Material.

Indexed as

Spinal FusionAdultAgedAged, 80 and overCase-Control StudiesFemaleHumansLinear ModelsLumbar VertebraeMaleMiddle AgedPatient ReadmissionReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsBundled paymentLumbar spine fusionMultivariate regressionObesityPosterior spine surgeryPredictive analyticsPredictive modelingReadmissionSingle-level fusionSocioeconomic factors

Identifiers

PMID30852687
OpenAlexW2922053381

What OpenQuestion holds

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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.