Evidence map›Paper›PMID 26525716›Full record

ArticleBMJ open2015

Prevalence and temporal pattern of hospital readmissions for patients with type I and type II diabetes.

Xiaoqian Liu, Yuanyuan Liu, Yuanjun Lv, Changping Li, Zhuang Cui, Jun Ma

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xiaoqian LiuCollege of Public Health, Tianjin Medical University, Tianjin, China.
Yuanyuan LiuCollege of Public Health, Tianjin Medical University, Tianjin, China.
Yuanjun LvDivision of General Internal Medicine, Tianjin Hospital, Tianjin, China.
Changping LiCollege of Public Health, Tianjin Medical University, Tianjin, China.
Zhuang CuiCollege of Public Health, Tianjin Medical University, Tianjin, China.
Jun MaCollege of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CNTianjin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRepeated hospitalisation for patients is common and costly, yet partly preventable. However, we know little about readmissions for patients with diabetes in China. The current study aims to assess the frequency and temporal pattern of and risk factors for all-cause readmission among hospitalised patients with diabetes in Tianjin, China.

methodThis retrospective, cohort analysis used the Tianjin Basic Medical Insurance Register System data of 2011. The patterns of and the reasons for all-cause readmissions for patients with diabetes were described. The differences of readmission-free survival (RFS) between newly and previously diagnosed patients were compared. Time-dependent Cox models were established to identify the risk factors for readmission at different time intervals after discharge.

resultsReadmission rates were approximately 30%, with the most common diagnoses of cerebral infarction (for type I) or diabetes (for type II) for patients with diabetes. The majority of patients were readmitted to the hospital after more than 90 days, followed by 8-30 days (all p=0.002). Approximately 37.2% and 42.8% of readmitted patients with type I and type II diabetes were diagnosed previously, and the RFS rates for previously diagnosed patients were significantly lower than for newly diagnosed patients at any time interval after discharge. Prior history of diabetes (all p<0.05), length of stay (all p<0.01) and reimbursement ratio (90% vs >92%, all p<0.0002) were consistently associated with the RFS for patients readmitted to the hospital at <7, 8-30, 31-60 and 61-90 days.

conclusionsHospital readmissions among patients with diabetes were affected by the diagnosis status. Patient characteristics and the quality of healthcare might regulate short-interval and long-interval hospital readmission, respectively, after discharge.

Indexed as

AgedBrain InfarctionChinaDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic AngiopathiesFemaleHumansLength of StayMaleMiddle AgedPatient ReadmissionPrevalenceProportional Hazards ModelsQuality of Health CareRetrospective Studieshospital readmission

Identifiers

PMID26525716
PMCPMC4636613
OpenAlexW2174781508

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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.