Evidence map›Paper›PMID 39518657›Full record

ArticleJournal of clinical medicine2024

Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery.

Hasan S Ahmad, Daksh Chauhan, Mert Marcel Dagli, Ryan W Turlip, Malek Bashti, Ali Hamade, Patrick T Wang, Yohannes Ghenbot, Andrew I Yang, Gregory W Basil and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Hasan S AhmadDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daksh ChauhanDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Mert Marcel DagliDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-5201-6720
Ryan W TurlipDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0009-0003-9258-2123
Malek BashtiDepartment of Neurosurgery, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.ORCID 0000-0003-0398-3367
Ali HamadeDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Patrick T WangDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yohannes GhenbotDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Andrew I YangDepartment of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
Gregory W BasilDepartment of Neurosurgery, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
William C WelchDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jang Won YoonDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

lumbar decompressionlumbar fusionlumbar spinemachine learningpatient reported outcome measuressmartphone-based accelerometry

Identifiers

PMID39518657
PMCPMC11547021

What OpenQuestion holds

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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.