Evidence map›Paper›PMID 36884351›Full record

ArticleGlobal spine journal2024

Do Preoperative Supine Radiographs Predict Postoperative Residual Lumbar Curvatures in Adolescent Idiopathic Scoliosis? A Retrospective Cohort Study.

Prashant V Rajan, Richard Steiner, Todd F Ritzman, Trey Moberly, Lorena V Floccari

Open access · goldAbstract read
In one paragraph

Article in Global spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Prashant V RajanDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, USA.ORCID 0000-0002-9639-9022
Richard SteinerDepartment of Statistics, The University of Akron, Akron, OH, USA.ORCID 0000-0002-2369-7432
Todd F RitzmanDepartment of Orthopaedic Surgery, Akron Children's Hospital, Akron, OH, USA.
Trey MoberlyDepartment of Orthopaedic Surgery, Akron Children's Hospital, Akron, OH, USA.
Lorena V FloccariDepartment of Orthopaedic Surgery, Akron Children's Hospital, Akron, OH, USA.
Akron Children's Hospital · USCleveland Clinic · USUniversity of Akron · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective comparative study.

objectivesThis study compares supine vs bending flexibility radiographs and evaluates their ability to predict residual postoperative lumbar curvature after selective thoracic fusion for Lenke 1 and 2 curves across different lumbar modifiers (A, B, and C) in adolescent idiopathic scoliosis (AIS).

methodsThis was a retrospective review of AIS Lenke 1 and 2 patients who underwent posterior fusion. All patients had preoperative flexibility radiographs including side-bending and supine posteroanterior (PA) films, in addition to pre- and post-operative standing PA and lateral radiographs. We used SurgiMap 2.0 software for all radiographic measurements. Pearson correlations and linear regression models were developed in SAS.

resultsA total of 86 patients were included mean age 14.9 years and follow-up 72.3 months

conclusionEither supine or side-bending radiographs alone may be used to estimate mean residual postoperative lumbar curvature after selective posterior thoracic fusion, but little is to be gained by taking both supine and side-bending radiographs.

Indexed as

curvefusionlumbarpredictradiographsscoliosissupine

Identifiers

PMID36884351
PMCPMC11418720
OpenAlexW4323534357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.