Evidence map›Paper›PMID 39935977›Full record

ReviewSpine surgery and related research2025

Prediction Tools in Spine Surgery: A Narrative Review.

Martin Coia Jadresic, Joseph F Baker

Abstract readReview
In one paragraph

Review in Spine surgery and related research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

2 authors.

Martin Coia JadresicDepartment of Orthopaedic Surgery, Waikato Hospital, Hamilton, New Zealand.
Joseph F BakerDepartment of Orthopaedic Surgery, Waikato Hospital, Hamilton, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been increasing reports on prediction models in spine surgery. Interest in prognostic tools or risk calculators can facilitate shared decision-making about treatment between patients and clinicians. In recent years, there has been a steady increase in the number of models developed using varying methods. External validation is an essential component of prediction model testing to ensure the appropriate use of these models in populations outside of the developing center. This narrative review aimed to provide an overview of the literature describing the development and validation of prediction models in the field of spine surgery.

Indexed as

complicationsprognosisriskspinesurgeryvalidation

Identifiers

PMID39935977
PMCPMC11808232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.