Evidence map›Paper›PMID 38027847›Full record

ArticleHeliyon2023

The effect of homocysteine-lowering therapy on the formation of carotid atherosclerosis: A follow-up study in the rural areas of northwest China.

Jianing Wu, Rui Shi, Hua Li, Xiao Zhang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 3 institutions in 1 country.

Jianing WuDepartment of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Rui ShiDepartment of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Hua LiDepartment of Neurology, 3201 Hospital Affiliated to Medical College, Xi'an Jiaotong University, Han Zhong, China.
Xiao ZhangDepartment of Neurology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Air Force Medical University · CNXi'an Jiaotong University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the risk factors for carotid atherosclerosis in the rural areas of Northwest China, and to assess whether reducing serum homocysteine can prevent carotid atherosclerosis in subjects with hyperhomocysteinemia. Method: This observational study with 767 participants aged 40 years or older was conducted over 3 years. Color Doppler ultrasonography was performed to measure carotid atherosclerosis. We recorded biochemical indexes and carotid ultrasound results in the first and fourth years. Result: A total of 767 individuals (48.5 % men) were analyzed. Older age, hypertension, and higher levels of baseline low-density lipoprotein cholesterol (LDL-C) were risk factors for increased carotid intima-media thickness (CIMT), carotid plaque, and carotid stenosis (All P < 0.05). No association was found between decreased serum homocysteine (Hcy) levels and CIMT, carotid plaque, or carotid stenosis in individuals with hyperhomocysteinemia. Conclusion: Older age, hypertension, and higher baseline levels of LDL-C were independent risk factors for carotid atherosclerosis. Reducing serum Hcy levels may not prevent carotid atherosclerosis in the general population with hyperhomocysteinemia.

Indexed as

Carotid atherosclerosisCarotid plaqueHomocysteineHyperhomocysteinemiaRisk factors

Identifiers

PMID38027847
PMCPMC10658244
OpenAlexW4388294087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.