Evidence map›Paper›PMID 24972569›Full record

SynthesisMolecular biology reports2014

Association between 5-HTTLPR polymorphism and Parkinson's disease: a meta analysis.

Lianbo Gao, Honghua Gao

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2014. 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 34% 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. Review
  2. 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 1 institution in 1 country.

Lianbo GaoDepartment of Neurology, The Fourth Affiliated Hospital of China Medical University, No. 4 East Chongshan Road, Huanggu District, Shenyang, 110032, China, lianbogao@126.com.
Honghua Gao
Fourth Affiliated Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the genetic association of 5-HTTLPR polymorphism and Parkinson's disease (PD) or depression in PD by using meta analysis. Published association studies on genotype or allele frequencies of the 5-HTTLPR in patients with or without PD or in PD patients with or without depression in all ethnic groups were included. A biallelic meta-analysis, including biallelic frequency model, biallelic dominant model (BDM) and biallelic recessive model, was performed using the Cochrane Review Manager (RevMan, version 5.2) to calculate the pooled odds ratio and its corresponding 95 % CI with a random-effect model. Six studies met the criteria for the meta-analysis of association of 5-HTTLPR and three studies were included for the association of 5-HTTLPR and depression in PD. The meta-analysis results did not show significant association between 5-HTTLPR and PD or depression in PD, except for a moderate negative association between 5-HTTLPR and PD in Asian subgroup (2 studies) using the BDM approach. Our meta-analysis result does not support a direct primary effect of 5-HTTLPR on PD or depression in PD. Further association studies with larger sample sizes preferably taking into consideration factors such as additional allelic variants in the 5-HTTLPR, ethnic variation of the 5-HTTLPR distribution and gene-gene interaction are necessary to reach a more definite conclusion.

Indexed as

Polymorphism, GeneticAgedDepressive DisorderFemaleHumansMaleMiddle AgedOdds RatioParkinson DiseaseSerotonin Plasma Membrane Transport ProteinsSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, human

Identifiers

PMID24972569
OpenAlexW2018891599

What OpenQuestion holds

Textmetadata
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.