Evidence map›Paper›PMID 28927418›Full record

SynthesisBMC medical genomics2017

A systematic review and integrative approach to decode the common molecular link between levodopa response and Parkinson's disease.

Debleena Guin, Manish Kumar Mishra, Puneet Talwar, Chitra Rawat, Suman S Kushwaha, Shrikant Kukreti, Ritushree Kukreti

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medical genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Predictors of motor complications in early Parkinson's disease: A prospective cohort study.Movement disorders : official journal of the Movement Disorder Society · 2019
    Article
  11. Article
  12. 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

7 authors at 5 institutions in 1 country.

Debleena GuinGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Mall Road, New Delhi, -110007, India.
Manish Kumar MishraGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Mall Road, New Delhi, -110007, India.
Puneet TalwarGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Mall Road, New Delhi, -110007, India.
Chitra RawatGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Mall Road, New Delhi, -110007, India.
Suman S KushwahaInstitute of Human Behaviour and Allied Sciences, Dilshad Garden, Delhi, India.
Shrikant KukretiDepartment of Chemistry, Nucleic Acids Research Lab, University of Delhi (North Campus), Delhi, India.
Ritushree KukretiGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Mall Road, New Delhi, -110007, India. ritus@igib.res.in.
Institute of Genomics and Integrative Biology · INUniversity of Delhi · INAcademy of Scientific and Innovative Research · INCouncil of Scientific and Industrial Research · INInstitute of Human Behaviour and Allied Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPD is a progressive neurodegenerative disorder commonly treated by levodopa. The findings from genetic studies on adverse effects (ADRs) and levodopa efficacy are mostly inconclusive. Here, we aim to identify predictive genetic biomarkers for levodopa response (LR) and determine common molecular link with disease susceptibility. A systematic review for LR was conducted for ADR, and drug efficacy, independently. All included articles were assessed for methodological quality on 14 parameters. GWAS of PD were also reviewed. Protein-protein interaction (PPI) analysis using STRING and functional enrichment using WebGestalt was performed to explore the common link between LR and PD.

resultsFrom 37 candidate studies on levodopa toxicity, 18 genes were found associated, of which, CA

conclusionOur study revealed the genetically significant polymorphism concerning the ADRs and levodopa efficacy. The six common genes may be used as predictive markers for therapy optimization and as putative drug target candidates.

Indexed as

Genetic Predisposition to DiseaseHumansLevodopaParkinson DiseaseProtein Interaction MapsLevodopaAdverse effectsDyskinesiaLevodopaLevodopa responseParkinson’s disease

Identifiers

PMID28927418
PMCPMC5606117
OpenAlexW2755585971

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.