Evidence map›Paper›PMID 39322545›Full record

ArticleNeurologia medico-chirurgica2024

Full-endoscopic Spine Surgery for the Treatment of Lumbar Ligamentous Flavum Hematoma.

Chia-Wei Chang, Ryoji Tominaga, Yasushi Oshima, Hiroki Iwai, Hirohiko Inanami, Hisashi Koga

Abstract read
In one paragraph

Article in Neurologia medico-chirurgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Chia-Wei ChangDepartment of Orthopedic Surgery, Iwai Orthopedic Hospital.
Ryoji TominagaDepartment of Orthopedic Surgery, Iwai Orthopedic Hospital.
Yasushi OshimaDepartment of Orthopedic Surgery, Inanami Spine and Joint Hospital.
Hiroki IwaiDepartment of Orthopedic Surgery, Iwai Orthopedic Hospital.
Hirohiko InanamiDepartment of Orthopedic Surgery, Iwai Orthopedic Hospital.
Hisashi KogaDepartment of Orthopedic Surgery, Iwai Orthopedic Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lumbar ligamentous flavum hematoma (LFH) is a relatively rare pathology, and it is difficult to differentiate it from other cystic lesions. Full-endoscopic spine surgery (FESS), an excellent approach for clear and magnified operative visual field since it allows saline irrigation and minimizes destruction of surrounding tissues, has been applied to the treatment. This study aims to present a case series of patients with lumbar LFH treated by FESS.This case series consists of 17 lumbar LFH cases treated by FESS between May 2018 and November 2021 at a single institution. Patient background and operative data were collected from their medical records. The numerical rating scale (NRS), Oswestry Disability Index (ODI), and European Quality of Life-5 Dimensions (EQ-5D) were recorded preoperatively and postoperatively.Elderly men tend to suffer from lumbar LFH at the L4/5 vertebral level. Discontinuity with facet joint was confirmed under endoscopic visualization in all 17 cases. Blood clots were also observed in all cases under endoscope. The mean operative time was 68.6 min without complication. The patients were discharged at average 1.4 days after FESS with significant improvement of NRS score (P < 0.001). ODI and EQ-5D scores 2-year postoperatively statistically improved (P < 0.001), and there was no recurrence during followup period.The operative outcomes of lumbar LFH treated by FESS were satisfactory. FESS excels not only in the diagnosis but also in the treatment of lumbar LFH.

Indexed as

EndoscopyHematomaLigamentum FlavumLumbar VertebraeAdultAgedFemaleHumansMaleMiddle AgedQuality of LifeRetrospective StudiesSpinal DiseasesTreatment Outcomecase seriesfull-endoscopic spine surgerylumbar ligamentous flavum hematomaminimally invasive

Identifiers

PMID39322545
PMCPMC11617355

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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.