Evidence map›Paper›PMID 42131022›Full record

ArticleJournal of orthopaedic case reports2026

Breaking Barriers in Spine Surgery: Unilateral Biportal Endoscopy as a Trailblazer from Decompression to Fusion.

Shailesh Hadgaonkar, Akashdeep Singh Bali, Vivek Yadav, Ashok Shyam

Abstract readEditorial
In one paragraph

Article in Journal of orthopaedic case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shailesh HadgaonkarDepartment of Spine Surgery and Neurosciences, Sancheti Institute for Orthopaedics and Rehabilitation, Pune, Maharashtra, India.
Akashdeep Singh BaliDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Vivek YadavDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Ashok ShyamDepartment of Orthopaedics, Dr. D Y Patil School of Medicine, Navi Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survival analysis is critical in orthopaedics for determining how long procedures such as joint replacements and spinal operations are successful. Traditional approaches do not account for the timing of events such as implant failure or problems, whereas survival analysis does, allowing surgeons to make informed judgments. Key approaches for assessing risk variables and implant lifetime include Kaplan-Meier curves, log-rank tests, and Cox regression. This approach improves the evaluation of treatments across joint arthroplasty, fracture care, and spine surgery. Despite limitations such as data shortages and model assumptions, combining survival analysis with emerging technologies such as electronic health records and artificial intelligence improves personalised patient care and long-term outcome prediction, eventually leading to better surgical treatment.

Indexed as

Cox regressionKaplan-Meierorthopaedicssurvival analysis

Identifiers

PMID42131022
PMCPMC13162108

What OpenQuestion holds

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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.