Evidence map›Paper›PMID 30355652›Full record

SynthesisBioscience reports2018

PRISMA-compliant meta-analysis: association of metabolic syndrome and its components with the risk of chronic obstructive pulmonary disease.

Linyang Ye, Xi Huang, Qingxiang Wang, Hualing Yang, Dongmiao Cai, Zhanxiang Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Dynamic Metabolic Risk Profiling of World Trade Center Lung Disease: A Longitudinal Cohort Study.American journal of respiratory and critical care medicine · 2021
    Article
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

6 authors at 1 institution in 1 country.

Linyang YeDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, P.R. China.
Xi HuangDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, P.R. China.
Qingxiang WangDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, P.R. China.
Hualing YangDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, P.R. China.
Dongmiao CaiDepartment of Anesthesiology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, P.R. China.
Zhanxiang WangThe First Clinical Medical College, Fujian Medical University, Fuzhou, Fujian Province, P.R. China 15359252409@163.com.ORCID 0000-0002-2371-2911
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A preferred reporting items for systematic reviews and meta-analyses-compliant meta-analysis was conducted to test the association of metabolic syndrome and its components with the risk of chronic obstructive pulmonary disease (COPD) based on observational studies. Literature retrieval, article selection and data extraction were done by two researchers independently. Total 16 articles (20 independent studies) were analyzed with 3915 COPD patients and 25,790 control participants. Overall analysis indicated that metabolic syndrome was significantly associated with 1.53-fold (95% confidence interval [CI]: 1.23-1.9,

Indexed as

Blood PressureBody Mass IndexHumansHypertensionMetabolic SyndromePulmonary Disease, Chronic Obstructiveassociationchronic obstructive pulmonary diseasemeta-analysismetabolic syndrome

Identifiers

PMID30355652
PMCPMC6259021
OpenAlexW2898585118

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.