Evidence map›Paper›PMID 28538420›Full record

Observational studyMedicine2017

Prediction of the outcome of bladder dysfunction based on electrically induced reflex findings in patients with cauda equina syndrome: A retrospective study.

Dong Gyu Lee, Sang Gyu Kwak, Min Cheol Chang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  6. Observational
  7. Review
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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

3 authors at 2 institutions in 1 country.

Dong Gyu LeeDepartment of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University Department of Medical Statistics, College of Medicine, Catholic University of Daegu, Daegu, Republic of Korea.
Sang Gyu Kwak
Min Cheol Chang
Yeungnam University · KRCatholic University of Daegu · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of the electrically induced bulbocavernosus reflex (BCR) using electromyography (EMG) is a useful tool for evaluating the integrity of sacral spinal segments 2 to 4, and that of their afferent and efferent connections in the urogenital region. In the current retrospective study, the value of this technique in predicting the outcome of bladder dysfunction was investigated in patients with cauda equina syndrome (CES). Electrically induced BCR (E-BCR) was evaluated in 40 patients with bladder dysfunction due to CES at the subacute stage (7-90 days). Manually examined BCR, perianal pinprick sensation, and voluntary anal contraction were also investigated. The recovery of bladder function was evaluated 1 year after the onset of CES. All patients with the presence of E-BCR showed successful recovery of the bladder function, while all patients in whom E-BCR was absent showed poor recovery. E-BCR showed a higher positive predictive value than perianal pinprick sensation and voluntary anal contraction, and showed a higher negative predictive value than manually examined BCR. Results show that E-BCR has advantages in predicting the outcome of bladder dysfunction. Thus, this method can be used as a reference to predict the final outcome of bladder dysfunction at the subacute stage of CES.

Indexed as

ElectromyographyReflexAdultAgedElectric StimulationFemaleFollow-Up StudiesHumansMaleMiddle AgedPolyradiculopathyPrognosisReflex, AbnormalRetrospective StudiesUrinary BladderUrinary Bladder Diseases

Identifiers

PMID28538420
PMCPMC5457900
OpenAlexW2619147829

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.