Evidence map›Paper›PMID 29581961›Full record

ArticleBioMed research international2018

Hospitalization Trends in Adult Patients with COPD and Other Respiratory Diseases in Northeast China from 2005 to 2015.

Honglei Liu, Ni Wang, Wei Chen, Wenyan Liu, Shiping Wang, Jianbo Lei, Hui Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Trends in Hospitalization Expenditures for Acute Exacerbations of COPD in Beijing from 2009 to 2017.International journal of chronic obstructive pulmonary disease · 2020
    Article
  10. Article
  11. Article
  12. 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

7 authors at 3 institutions in 1 country.

Honglei LiuSchool of Biomedical Engineering, Capital Medical University, Beijing, China.ORCID 0000-0003-2963-5248
Ni WangSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Wei ChenDepartment of Respiratory, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wenyan LiuSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Shiping WangHealth Information Center, Dalian, Liaoning, China.
Jianbo LeiHealth Science Center, Peking University, Beijing, China.ORCID 0000-0002-0807-1407
Hui ChenSchool of Biomedical Engineering, Capital Medical University, Beijing, China.ORCID 0000-0002-0048-0193
Capital Medical University · CNPeking University · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD), pneumonia, asthma, and lung cancer are four common respiratory diseases that impose a substantial economic burden on both patients and government in China. The objective of our study is to analyze the temporal trends of several clinical tracking metrics for hospitalization regarding these diseases. Hospital discharge data of 54 hospitals for the period 2005-2015 were derived from the Health and Family Planning Commission in Northeast China. The age-adjusted rate of discharge for the four respiratory diseases increased significantly (COPD, pneumonia, asthma:

Indexed as

AdolescentAdultAsthmaChinaFemaleHumansMaleMiddle AgedPatient ReadmissionPulmonary Disease, Chronic Obstructive

Identifiers

PMID29581961
PMCPMC5822913
OpenAlexW2788204561

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.