Evidence map›Paper›PMID 37186159›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 Society2023

Predicting 30-day mortality after surgery for metastatic disease of the spine: the H

Farah N Musharbash, Jawad M Khalifeh, Micheal Raad, Varun Puvanesarajah, Sang H Lee, Brian J Neuman, Khaled M Kebaish

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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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
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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

7 authors.

Farah N MusharbashDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
Jawad M KhalifehDepartment of Neurosurgery, The Johns Hopkins University, 601 North Caroline Street, Suite 5223, Baltimore, MD, 21287, USA.
Micheal RaadDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
Varun PuvanesarajahDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
Sang H LeeDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
Brian J NeumanDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
Khaled M KebaishDepartment of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. editorialservices@jhmi.edu.ORCID 0000-0002-2186-2166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeScoring systems for metastatic spine disease focus on predicting long- to medium-term mortality or a combination of perioperative morbidity and mortality. However, accurate prediction of perioperative mortality alone may be the most important factor when considering surgical intervention. We aimed to develop and evaluate a new tool, the H

methodsUsing the National Surgical Quality Improvement Program database, we identified 1195 adults who underwent surgery for metastatic spine disease from 2010 to 2018. Incidence of 30-day mortality was 8.7% (n = 104). Independent predictors of 30-day mortality were used to derive the H

resultsPredicted 30-day mortality was 1.8% for an H

conclusionsThe H LEVEL OF EVIDENCE: Prognostic level III.

Indexed as

Spinal NeoplasmsAdultHumansPrognosisROC CurveSpineMetastasisMortalityOutcomesPredictionScoreSpine tumor

Identifiers

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Registered trials

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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.