Evidence map›Paper›PMID 37492334›Full record

ArticlePakistan journal of medical sciences

Effectiveness of deep brain stimulation in Parkinson's disease treatment with Single-center experience in Pakistan.

Aurangzeb Kalhoro, Abdul Sattar M Hashim

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. 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 36% 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, 2 citations in OpenAlex.

  1. Article
  2. Deep brain stimulation for post-stroke rehabilitation in Pakistan.Annals of medicine and surgery (2012) · 2024
    Review
  3. Review
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

2 authors at 2 institutions in 2 countries.

Aurangzeb KalhoroDr. Aurangzeb Kalhoro, F.C.P.S(Neurosurgery), F.A.C.S, M.B.A. Consultant Neurosurgeon, Neuro Spinal and Cancer Care Institute, Karachi, Pakistan.
Abdul Sattar M HashimProf. Dr. Abdul Sattar M. Hashim, MD, Ph.D. Neurosurgery, Ex. Professor, JPMC, Karachi, Medical Director, Neuro Spinal and Cancer Care Institute, Karachi, Pakistan.
Cancer Research Institute of the Slovak Academy of Sciences · SKKarachi Medical and Dental College · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the effectiveness and accuracy of deep brain stimulation in Parkinsonian Disease (PD). Methods: This study was a descriptive prospective study, and patients were treated at Neurospinal and Cancer Care Institute Karachi, from February 1, 2016, to June 30, 2020. We had 21 cases of parkinsonian disease. Inclusion criteria was Idiopathic Parkinson's disease, marked motor fluctuations against the response to dopaminergic therapy, UPDRS-III scores, which is 30 or higher, with a duration of disease of five years or longer, developing dyskinesia while the exclusion criteria was patient with known comorbid or active psychiatric disease. Results: Mean age of patient was 64 years. The standard deviation was 1.11697. The male patients' mean, median and mode had a standard deviation of 0.3. For the duration of disease, the mean was 1.4, the median 1 (5-6 years) and mode one. The standard deviation was 0.51177. The primary symptoms' mean was 2.2857, the median was 2.0, and the mode was two (tremor). The mean on medication (age) was 2 (45-49), and the median and mode were the same. Conclusion: Deep brain stimulation

Indexed as

Deep brain stimulationLevodopaMotor fluctuationParkinsonian diseaseTremor

Identifiers

PMID37492334
PMCPMC10364257
OpenAlexW4376565493

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.