Evidence map›Paper›PMID 30364823›Full record

ArticleInternational journal of spine surgery2018

Arm Pain Versus Neck Pain: A Novel Ratio as a Predictor of Post-Operative Clinical Outcomes in Cervical Radiculopathy Patients.

Peter G Passias, Saqib Hasan, Kris Radcliff, Robert Isaacs, Kristina Bianco, Cyrus M Jalai, Gregory W Poorman, Nancy J Worley, Samantha R Horn, Anthony Boniello and 5 more

Abstract read
In one paragraph

Article in International journal of spine surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Short-term efficacy of unilateral biportal endoscopy technology in the treatment of cervical spondylotic radiculopathy.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
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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

15 authors.

Peter G PassiasOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Saqib HasanOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Kris RadcliffDepartment of Orthopedic Surgery, Rothman Institute, Thomas Jefferson University, Philadelphia, Pennsylvania.
Robert IsaacsDivision of Neurosurgery, Duke University, Durham, North Carolina.
Kristina BiancoOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Cyrus M JalaiOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Gregory W PoormanOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Nancy J WorleyOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Samantha R HornOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Anthony BonielloOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Peter L ZhouOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.
Paul M ArnoldNeurosurgery, University of Kansas Hospital, Kansas City, Kansas.
Patrick HsiehDepartment of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, California.
Alexander R VaccaroDepartment of Orthopedic Surgery, Rothman Institute, Thomas Jefferson University, Philadelphia, Pennsylvania.
Michael C GerlingOrthopaedic Surgery, NYU Hospital for Joint Diseases, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformed patient selection and counseling is key in improving surgical outcomes. Understanding the impact that certain baseline variables can have on postoperative outcomes is essential in optimizing treatment for certain symptoms, such as radiculopathy from cervical spine pathologies. The aim was to identify baseline characteristics that were related to improved or worsened postoperative outcomes for patients undergoing surgery for cervical spine radiculopathic pain.

methodsRetrospective review of prospectively collected data. Patient Sample: Surgical cervical spine patients with a diagnosis classification of "degenerative." Diagnoses included in the "degenerative" category were those that caused radiculopathy: cervical disc herniation, cervical stenosis, and cervical spondylosis without myelopathy. Baseline variables considered as predictors were: (1) age, (2) body mass index (BMI), (3) gender, (4) history of cervical spine surgery, (5) baseline Neck Disability Index (NDI) score, (6) baseline SF-36 Physical Component Summary (PCS) scores, (7) baseline SF-36 Mental Component Summary (MCS) scores, (8) Visual Analog Scale (VAS) Arm score, and (9) VAS Neck. Outcome Measures: Improvement in NDI (≥50%), VAS Arm/Neck (≥50%), SF-36 PCS/MCS (≥10%) scores at 2-years postoperative. An arm-to-neck ratio (ANR) was also generated from baseline VAS scores. Univariate and multivariate analyses evaluated predictors for 2-year postoperative outcome improvements, controlling for surgical complications and technique.

resultsThree hundred ninety-eight patients were included. Patients with ANR ≤ 1 (n = 214) were less likely to reach improvements in 2-year NDI (30.0% vs 39.2%,

conclusionsThis study identified specific symptom locations and health-related quality of life (HRQL) scores, which were associated with postoperative pain and disability improvement. In particular, baseline arm pain greater than neck pain was determined to have the greatest impact on whether patients met at least 50% improvement in their upper body pain score. These findings are important for clinicians to optimize patient outcomes through effective preoperative counseling.

Indexed as

arm neck ratioarm paincervical spineneck painradiculopathy

Identifiers

PMID30364823
PMCPMC6198621

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.