Evidence map›Paper›PMID 31534814›Full record

ReviewJournal of analytical methods in chemistry2019

Diagnosing Perioperative Cardiovascular Risks in Noncardiac Surgery Patients.

Panpan Li, Ying Lei, Qiaomei Li, Thangavel Lakshmipriya, Subash C B Gopinath, Xinwen Gong

Abstract readReview
In one paragraph

Review in Journal of analytical methods in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Panpan LiDepartment of Encephalopathy, Ankang Traditional Chinese Medicine Hospital, No. 47, Bashan East Road, Hanbin District, Ankang City, Shaanxi Province 725000, China.
Ying LeiDepartment of Functional (ECG Room), Ankang Traditional Chinese Medicine Hospital, No. 47, Bashan East Road, Hanbin District, Ankang City, Shaanxi Province 725000, China.
Qiaomei LiOperating Room, Ankang Traditional Chinese Medicine Hospital, No. 47, Bashan East Road, Hanbin District, Ankang City, Shaanxi Province 725000, China.
Thangavel LakshmipriyaInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia.
Subash C B GopinathInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia.ORCID https://orcid.org/0000-0002-8347-4687
Xinwen GongDepartment of Cardiology, Ankang Traditional Chinese Medicine Hospital, No. 47, Bashan East Road, Hanbin District, Ankang City, Shaanxi Province 725000, China.ORCID https://orcid.org/0000-0002-6841-3974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year, over 200 million adults are undergoing noncardiac surgery. These noncardiac surgery patients may face the risk of cardiac mortality and morbidity during the perioperative and recovery periods. Around ten million patients who underwent noncardiac surgery experience cardiac complications within the first 30 days of the postoperative period; the complications are myocardial infarction, cardiac death, and cardiac arrest. This cardiovascular risk is mostly faced by the patients having cerebrovascular or cardiac disease and the patients with the age greater than 50 years. Monitoring and treating cardiac diseases with a suitable biomarker during the perioperative period is necessary for the early recovery of noncardiac surgery patients. This review discussed the risk factors and the key guidelines to avoid the cardiovascular risks during the perioperative period of noncardiac surgery patients. In addition, the biomarkers and identification strategies for cardiac diseases are discussed.

Identifiers

PMID31534814
PMCPMC6732619

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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.