Evidence map›Paper›PMID 30932865›Full record

ArticleJMIR medical informatics2019

Establishment of a New Platform for the Management of Patients After Cardiac Surgery: Descriptive Study.

Zhihui Zhu, Haibo Zhang, Yuehuan Li, Xu Meng, Yuqing Jiao, Ying Qin, Yan Li, Jie Han, Kun Liu, Chongyang Liu

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Zhihui ZhuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-0037-194X
Haibo ZhangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-7249-3113
Yuehuan LiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-8836-0198
Xu MengBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-2218-6737
Yuqing JiaoBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0003-2757-8948
Ying QinBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-2505-2857
Yan LiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0003-3796-3727
Jie HanBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-6994-3371
Kun LiuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-2220-2661
Chongyang LiuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-8054-2632
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical care for the Chinese population has been focused on first-line treatment, but with little follow-up on treated patients. As an important part of clinical work, follow-up evaluations are of great significance for the long-term survival of patients and for clinical and scientific research. However, the overall follow-up rate of discharged patients after surgery has been low for many years because of the limitations of certain follow-up methods and the presence of objective, practical problems.

objectiveThis study aimed to construct a new two-way interactive telemedicine follow-up platform to improve the collection of clinical data after cardiac surgery and provide reliable and high-quality follow-up services.

methodsComputer and network technologies were employed in the context of "Internet +" to develop follow-up databases and software compatible with a mobile network. Postoperative follow-up quality data including the follow-up rate and important postoperative indices were used as standards to evaluate the new follow-up management model after cardiac surgery.

resultsThis system has been officially operated for more than 5 years. A total of 5347 patients undergoing cardiac surgery have been enrolled, and the total follow-up rate was 90.22%. In addition, 6349 echocardiographic images, 4717 electrocardiographic images, and 3504 chest radiographic images have been uploaded during follow-up assessments. The international standardized ratio was 20,696 person-times.

conclusionsThis new management follow-up platform can be used to effectively collect clinical data, provide technical support for academic research, extend medical services, and provide more help to patients. It is of great significance for managing patients after cardiac surgery.

Indexed as

cardiac surgeryfollow-uptelemedicine

Identifiers

PMID30932865
PMCPMC6462895
OpenAlexW2913899632

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.