Evidence map›Paper›PMID 39191475›Full record

ArticleInternational journal of spine surgery2024

Personalized Approaches to Spine Surgery.

Arati Patel, Abraham Dada, Satvir Saggi, Hunter Yamada, Vardhaan S Ambati, Elianna Goldstein, Edward C Hsiao, Praveen V Mummaneni

Abstract read
In one paragraph

Article in International journal of spine surgery, 2024. 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. An Update on Pain Management in Pediatric Spine Surgery.Current reviews in musculoskeletal medicine · 2026
    Review
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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

8 authors.

Arati PatelDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA arati.patel@ucsf.edu.
Abraham DadaDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Satvir SaggiDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Hunter YamadaDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Vardhaan S AmbatiDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Elianna GoldsteinDepartment of Radiology and Biomedical Imaging, Neuroradiology Division, University of California San Francisco, San Francisco, CA, USA.
Edward C HsiaoDivision of Endocrinology and Metabolism, The UCSF Metabolic Bone Clinic, University of California San Francisco, San Francisco, CA, USA.
Praveen V MummaneniDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

Patient-centric decision-making has imbued all aspects of health care, including spine surgery. This review describes how spine surgeons can use evolving technologies and knowledge of disease and pain states to tailor their surgical approach to the individual patient. This includes preoperative screening for and optimization of low bone mineral density, intraoperative selection of implant material and customization of interbody cages and screws, and postoperative personalization of pain regimens and rehabilitation courses. By working in a multidisciplinary fashion, spine surgeons can avail themselves of these advances to provide individualized care.

Indexed as

artificial intelligencebiologicsbone mineral densityoutcomespainpersonalized medicineroboticsspine implantsspine surgerysurgical planning

Identifiers

PMID39191475
PMCPMC11687043

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.