Evidence map›Paper›PMID 33037596›Full record

ReviewSpine deformity2021

State-of-the-art: outcome assessment in adult spinal deformity.

Jeffrey L Gum, Leah Y Carreon, Steven D Glassman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Spine deformity, 2021. 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
–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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Enlargement of the "cone of economy" as a biomarker of decompensation in unbalanced adult spinal deformity patients.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 · 2025
    Article
  4. Article
  5. 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

3 authors.

Jeffrey L GumNorton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY, 40202, USA.
Leah Y CarreonNorton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY, 40202, USA. leah.carreon@nortonhealthcare.org.ORCID 0000-0002-7685-9036
Steven D GlassmanNorton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY, 40202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult spinal deformity (ASD) is a diagnosis that encompasses heterogeneous disorders with an increasing prevalence. This increasing prevalence may be due to greater patient longevity or greater awareness of available treatments. Outcome assessment in ASD has evolved over the last 3 decades from physician-based assessments to a patient-centered perception of improvement. Outcome assessment that is reliable, accurate and responsive to change is especially important in ASD, as surgical treatment is known to carry a high cost and complication rate Glassman (Spine Deform 3:199-203, 2015); Glassman (Spine (Phila Pa 1976) 32: 2764-2770, 2007); Smith (J Neurosurg Spine 25:1-14, 2016). In an era of value-based care, diagnosis associated with such heterogeneity and high cost must provide sound evidence to support the cost versus outcome ratio. Numerous general health and disease specific patient-reported outcome measures (PROMs) have been utilized in ASD. We discuss these instruments in detail in the following state-of-the-art review.

Indexed as

Disability EvaluationQuality of LifeAdultHumansPatient Reported Outcome MeasuresRetrospective StudiesTreatment OutcomeAdult spinal deformityEuroQOL 5DOswestry disability indexPatient reported outcomesScoliosis Research Society 22RShort Form-36

Identifiers

What OpenQuestion holds

Textmetadata
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.