Evidence map›Paper›PMID 35006443›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Association of HMOX-1 rs2071747 with sporadic Parkinson's disease in southern Han Chinese.

Ran Xiong, Bei Zhang

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. 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
0.7field-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, 5 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Ran XiongDepartment of Neurology, East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai, 200120, China. xr3088@163.com.ORCID http://orcid.org/0000-0002-0089-9509
Bei ZhangDepartment of Neurology, East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New Area, Shanghai, 200120, China.
Shanghai East Hospital · CN

Funding

the national natural science foundation of china 81601106
6 · The paper itself

Abstract

STUDY

objectivesTo discover the associations between HMOX-1 and sporadic Parkinson's disease (PD).

methodsFive hundred sporadic PD patients and 500 healthy controls were recruited in this study. Polymerase chain reaction (PCR) was used.

resultsThe dominant model of HMOX-1 rs2071747 was shown statistically significant between PD patients and control after adjustment of age and gender (dominant model: p value: 0.045, OR: 1.51, 95% CI: 1.01-2.27, adjusted). The associations of additive model and dominant model of rs2071747 were also found (additive model: p value: 0.047; dominant model: p value: 0.035, OR: 1.55, 95% CI: 1.03, 2.34).

conclusionsWe found the association of the dominant of HMOX1 rs2071747 with PD. We also found the associations of additive model and dominant model of HMOX1 rs2071747 with late onset PD (LOPD) patients. HIGHLIGHTS: • The dominant model of HMOX1 rs2071747 was associated with PD. • The additive model of HMOX1 rs2071747 was associated with LOPD. • The dominant model of HMOX1 rs2071747 was associated with LOPD.

Indexed as

Genetic Predisposition to DiseaseHeme Oxygenase-1Parkinson DiseaseCase-Control StudiesChinaGenetic Association StudiesHumansPolymorphism, Single NucleotideHeme Oxygenase-1HMOX1 protein, humanGenetic associationsHMOX-1Late onset Parkinson’s diseaseParkinson’s diseaseSingle nucleotide polymorphism

Identifiers

PMID35006443
OpenAlexW4205635996

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.