Evidence map›Paper›PMID 34610669›Full record

ArticleNeurospine2021

Emerging Technologies in the Treatment of Adult Spinal Deformity.

Akshar V Patel, Christopher A White, John T Schwartz, Nicholas L Pitaro, Kush C Shah, Sirjanhar Singh, Varun Arvind, Jun S Kim, Samuel K Cho

Open access · diamondAbstract read
In one paragraph

Article in Neurospine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. An Optical Tracking-Based Robot-Assisted System for Spinal Fixation Rod Bending.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
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  4. Treatment strategies and outcomes in the first reported case of severe "Reverse-Folding" spinal deformity: A 2-year follow-up case report.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 · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Akshar V PatelDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Christopher A WhiteDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John T SchwartzDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nicholas L PitaroDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kush C ShahDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sirjanhar SinghDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Varun ArvindDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jun S KimDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Samuel K ChoDepartment of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patientspecific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity.

Indexed as

Artificial intelligenceMachine learningRobotRodsSpine surgery

Identifiers

PMID34610669
PMCPMC8497255
OpenAlexW3200082806

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.