Evidence map›Paper›PMID 31440635›Full record

ArticleSpine surgery and related research2017

Cage subsidence in lateral interbody fusion with transpsoas approach: intraoperative endplate injury or late-onset settling.

Kotaro Satake, Tokumi Kanemura, Hiroaki Nakashima, Hidetoshi Yamaguchi, Naoki Segi, Jun Ouchida

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Article in Spine surgery and related research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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30citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kotaro SatakeDepartment of Orthopaedic Surgery, Konan Kosei Hospital, Konan, Aichi, Japan.
Tokumi KanemuraDepartment of Orthopaedic Surgery, Konan Kosei Hospital, Konan, Aichi, Japan.
Hiroaki NakashimaDepartment of Orthopaedic Surgery, Konan Kosei Hospital, Konan, Aichi, Japan.
Hidetoshi YamaguchiDepartment of Orthopaedic Surgery, Nagoya University, Nagoya, Aichi, Japan.
Naoki SegiDepartment of Orthopaedic Surgery, Konan Kosei Hospital, Konan, Aichi, Japan.
Jun OuchidaDepartment of Orthopaedic Surgery, Konan Kosei Hospital, Konan, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFew studies have investigated the influence of cage subsidence patterns (intraoperative endplate injury or late-onset cage settling) on bony fusion and clinical outcomes in lateral interbody fusion (LIF). This retrospective study was performed to compare the fusion rate and clinical outcomes of cage subsidence patterns in LIF at one year after surgery.

methodsParticipants included 93 patients (aged 69.0±0.8 years; 184 segments) who underwent LIF with bilateral pedicle screw fixation. All segments were evaluated by computed tomography and classified into three groups: Segment E (intraoperative endplate injury, identified immediately postoperatively); Segment S (late-onset settling, identified at 3 months or later); or Segment N (no subsidence). We compared patient characteristics, surgical parameters and fusion status at 1 year for the three subsidence groups. Patients were classified into four groups: Group E (at least one Segment E), Group S (at least one Segment S), Group ES (both Segments E and S), or Group N (Segment N alone). Visual analog scales (VASs) and the Japanese Orthopedic Association Back Pain Evaluation Questionnaire (JOABPEQ) were compared for the four patient groups.

results184 segments were classified: 31 as Segment E (16.8%), 21 as Segment S (11.4%), and 132 as Segment N (71.7%). Segment E demonstrated significantly lower bone mineral density (-1.7 SD of T-score, p=0.003). Segment S demonstrated a significantly higher rate of polyetheretherketone (PEEK) cages (100%, p=0.03) and a significantly lower fusion rate (23.8%, p=0.01). There were no significant differences in VAS or in any of the JOABPEQ domains among the four patient groups.

conclusionsIntraoperative endplate injury was significantly related to bone quality, and late-onset settling was related to PEEK cages. Late-onset settling demonstrated a worse fusion rate. However, there were no significant differences in clinical outcomes among the subsidence patterns.

Indexed as

cage subsidenceCT-MPR; computed tomography multiplanar reconstructionendplate injuryJOABPEQ; Japanese Orthopedic Association Back Pain Evaluation Questionnairelate-onset settlinglateral interbody fusion

Identifiers

PMID31440635
PMCPMC6698569

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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.