Evidence map›Paper›PMID 35086874›Full record

ArticleInternational journal of spine surgery2021

Management of Symptomatic Cervical Spine Pseudarthrosis: A Suggested Algorithm for Surgical Planning.

Mohamed Alhashash, Heinrich Boehm, Mootaz Shousha

Open access · diamondAbstract read
In one paragraph

Article in International journal of spine surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 2 countries.

Mohamed AlhashashDepartment of Spine Surgery, Zentralklinik Bad Berka, Germany hashmf1@yahoo.com.ORCID http://orcid.org/0000-0001-7592-1419
Heinrich BoehmDepartment of Spine Surgery, Zentralklinik Bad Berka, Germany.
Mootaz ShoushaDepartment of Spine Surgery, Zentralklinik Bad Berka, Germany.
Zentralklinik Bad Berka · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical outcome of anterior cervical decompression and fusion (ACDF) correlates with fusion rates. There is a debate about how patients with symptomatic pseudarthrosis should be managed. In this study, a treatment plan is developed based on the surgical results of 95 patients and the recent literature.

methodsA retrospective study to evaluate the long-term results after surgical treatment of symptomatic pseudarthrosis after ACDF. Between 1994 and 2015, 95 patients underwent surgery due to symptomatic pseudarthrosis after ACDF. The diagnosis was confirmed with dynamic radiographs and computed tomography scans. The approach used was anterior in 62 (65.1%), posterior in 13 (13.7%), and combined anterior and posterior in 20 (21.2%) patients. The operative details and the radiological and clinical results were analyzed.

resultsThe primary operation was fusion using cages in 70, bone graft and plate in 16, and bone graft only in 9 patients. The revision was performed after a mean of 27 months. After a mean follow-up of 52 months, the mean Visual Analog Scale improved from 7.5 to 2.3 (

conclusionsSolid arthrodesis significantly improves the symptoms of cervical pseudarthrosis patients. The presence of adjacent segment disease, implant migration, residual stenosis, and segmental kyphosis plays an important role in decision-making. A treatment recommendation plan has been suggested. LEVEL OF EVIDENCE: 4.

Indexed as

anterior approachcervical spineposterior approachpseudarthrosisrevision

Identifiers

PMID35086874
PMCPMC9541594
OpenAlexW4207012799

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.