Evidence map›Paper›PMID 42434568›Full record

ArticleJournal of spine surgery (Hong Kong)2026

Retrospective cohort study of recovery trajectories following anterior versus posterior fusion surgery for cervical degenerative pathology.

Katie Lee, Arpitha Pamula, Alex Tang, Tan Chen

Abstract read
In one paragraph

Article in Journal of spine surgery (Hong Kong), 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.

Katie LeeGeisinger Commonwealth School of Medicine, Geisinger College of Health Sciences, Scranton, PA, USA.ORCID https://orcid.org/0009-0009-1070-1381
Arpitha PamulaGeisinger Commonwealth School of Medicine, Geisinger College of Health Sciences, Scranton, PA, USA.
Alex TangGeisinger Orthopaedic Surgery Northeast Residency, Geisinger Wyoming Valley Medical Center, Wilkes-Barre, PA, USA.
Tan ChenOrthopaedic Spine Surgery, Inova Orthopaedics & Sports Medicine, Alexandria, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anterior cervical discectomy and fusion (ACDF) and posterior decompression and instrumented fusion (PDIF) are two common spinal procedures for treating cervical degenerative pathology. While previous studies have compared outcomes and complication profiles between ACDF and PDIF, there is limited outcomes data investigating the rates and patterns of clinical improvement of the two techniques. The purpose of this study was to (I) compare trends in patient reported neck disability index (NDI) scores perioperatively between ACDF and PDIF; (II) identify demographic and perioperative characteristics that may influence rate of improvement; and (III) compare surgical intraoperative complications and reoperation rates. Methods: A retrospective review from 2019-2023 was performed identifying 309 consecutive patients undergoing primary or revision ACDF (n=271) or PDIF (n=38) for degenerative disease. A minimal clinically important difference (MCID) of 11 was assumed based on previous literature. Results: Average follow-up was 2.2 years. ACDF patients were younger (56.1 Conclusions: Both ACDF and PDIF achieve long-term improvement exceeding MCID with similar rates. ACDF patients demonstrated faster recovery and higher MCID achievement rates at 1-year. Clinical improvement was comparable across diagnoses and number of fusion levels. These findings provide guidance in preoperative counseling, establishing realistic recovery timelines, and managing postoperative expectations.

Indexed as

Anterior cervical discectomy and fusion (ACDF)cervicaldegenerative disc diseasemyelopathyradiculopathy

Identifiers

PMID42434568
PMCPMC13351915

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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.