Evidence map›Paper›PMID 32220913›Full record

ArticleBMJ open2020

Annual rates of and factors influencing inpatient and outpatient transient ischaemic attacks in Chinese population: a nationally representative cross-sectional survey.

Bin Jiang, Dongling Sun, Haixin Sun, Xiaojuan Ru, Hongmei Liu, Siqi Ge, Linhong Wang, Limin Wang, Wenzhi Wang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 1 country.

Bin JiangDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China bjyjiang@hotmail.com qgnfbwwz@163.com.ORCID 0000-0001-5808-7178
Dongling SunDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Haixin SunDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaojuan RuDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongmei LiuDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Siqi GeDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Linhong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Limin WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenzhi WangDepartment of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China bjyjiang@hotmail.com qgnfbwwz@163.com.
Capital Medical University · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the rates and influencing factors of transient ischaemic attack (TIA) inpatient admissions and outpatient visits in China.

settingA door-to-door survey of 178 059 families from 155 urban and rural areas in 31 provinces in China, 2013.

participantsTotal 596 536 people were assessed in the annual rate analysis, and 829 TIA patients were assessed in the influencing factor analysis.

main outcome measuresThe weighted annual rates of TIA inpatient admissions and outpatient visits and the factors influencing inpatient admissions and outpatient visits for TIA patients.

resultsThe weighted annual inpatient admission rate per TIA patient was 25.8 (95% CI: 18.4 to 36.2) per 100 000 in the population, whereas the weighted annual inpatient admission rate for patients with TIAs was 32.5 (95% CI: 23.3 to 38.9) per 100 000 in the population. The weighted annual outpatient visit rate per TIA patient was 34.4 (95% CI: 26.2 to 45.1) per 100 000 in the population, whereas the weighted annual outpatient visit rate for patients with TIAs was 149.6 (95% CI: 127.0 to 165.5) per 100 000. The inpatient rate was higher for men than for women (OR: 2.24; 95% CI: 1.40 to 3.59; p=0.001), for TIA patients with stroke than for patients with isolated TIAs (2.93; 2.01 to 4.25; p<0.001), for TIA patients with hypertension than for TIA patients without hypertension (2.60; 1.65 to 4.11; p<0.001). The outpatient rate was higher for TIA patients with stroke than for patients with isolated TIAs (1.88; 1.33 to 2.64; p<0.001), for TIA patients with dyslipidaemia than for TIA patients without dyslipidaemia (1.92; 1.30 to 2.83; p=0.001).

conclusionsThe annual rates of TIA inpatient admissions and outpatient visits in population are low, probably due to the lack of access to inpatient and outpatient services experienced by the majority of TIA patients in the population, and individuals' socio-demographic characteristics, disease histories and stroke prognosis may be associated with inpatient and outpatient TIAs.

Indexed as

Ischemic Attack, TransientStrokeAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCross-Sectional StudiesDyslipidemiasFemaleHumansInfantInfant, NewbornInpatientsepidemiologyhealth economicshealth services administration & managementneurologystroke medicine

Identifiers

PMID32220913
PMCPMC7170564
OpenAlexW3014036991

What OpenQuestion holds

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LicenceCC BY-NC
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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.