Evidence map›Paper›PMID 28327190›Full record

ArticleBMC research notes2017

Primary pain generator identification by CT-SPECT in a patient with low back pain: a case report.

Gabriel Tender, Adriana Constantinescu, Andrew Conger, Anthony DiGiorgio

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  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

4 authors at 2 institutions in 2 countries.

Gabriel TenderDepartment of Neurosurgery, Louisiana State University, 2020 Gravier Street, Suite 744, New Orleans, LA, USA. gtende@lsuhsc.edu.
Adriana ConstantinescuDepartment of Oncology, University of Craiova, Str. Alexandru Ioan Cuza, 200585, Craiova, Romania.
Andrew CongerDepartment of Neurosurgery, Louisiana State University, 2020 Gravier Street, Suite 744, New Orleans, LA, USA.
Anthony DiGiorgioDepartment of Neurosurgery, Louisiana State University, 2020 Gravier Street, Suite 744, New Orleans, LA, USA.
Louisiana State University · USUniversity of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic low back pain is one of the most common conditions encountered in the middle-age population. Identifying the primary pain generator is notoriously difficult. The computed tomography-single-photon emission computed tomography (CT-SPECT) is emerging as a new diagnostic modality for this purpose. CASE PRESENTATION: This 68-year-old Caucasian male presented with intractable low back pain refractory to maximal conservative treatment, including medication and extensive physical therapy. The lumbar computed tomography, magnetic resonance imaging, and flexion-extension X-rays showed advanced degenerative changes throughout the lumbar spine, but no single level significantly worse than the others. The CT-SPECT showed markedly increased uptake at the L1-2 disc level and only minimal uptake at the other levels. The patient underwent a minimally invasive lateral L1-2 fusion with near-complete resolution of his low back pain.

conclusionsThe CT-SPECT may provide a unique tool in establishing the primary pain generator in patients with degenerative spine disease.

Indexed as

AgedHumansLow Back PainLumbar VertebraeMagnetic Resonance ImagingMaleSingle Photon Emission Computed Tomography Computed TomographySpinal FusionTomography, X-Ray ComputedTreatment OutcomeCT–SPECTDegenerative spineLow back painPrimary pain generator

Identifiers

PMID28327190
PMCPMC5361848
OpenAlexW2602394868

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.