Evidence map›Paper›PMID 35663210›Full record

ArticleIndian journal of anaesthesia2022

Predictors of peri-operative cardiac events and development of a scoring tool for patients with chronic kidney disease undergoing non-cardiac surgeries: A prospective observational multicentre study.

Alka Sachin Deo, Rijuta Kashyapi, Veena Joshi, Parimala Balakundi, Padmalatha Raman

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of anaesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. Striving towards excellence in research on biomarkers.Indian journal of anaesthesia · 2022
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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

5 authors at 2 institutions in 2 countries.

Alka Sachin DeoDepartment of Anaesthesiology, NU Hospitals, Bengaluru, Karnataka, India.
Rijuta KashyapiDepartment of Anaesthesiology, Deenanath Mangeshkar Hospital and Research Centre, Pune, Maharashtra, India.
Veena JoshiDepartment Biostatistics, NU Hospitals, Bengaluru, Karnataka, India.
Parimala BalakundiDepartment of Anaesthesiology, NU Hospitals, Bengaluru, Karnataka, India.
Padmalatha RamanDepartment of Anaesthesiology, NU Hospitals, Bengaluru, Karnataka, India.
Deenanath Mangeshkar Hospital and Research Center · INCreative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Cardiovascular diseases are the leading causes of morbidity and mortality in chronic kidney disease (CKD) patients. Our aim was to derive predictors of cardiac morbidity, mortality, cardiac complications and to develop/validate a scoring tool in patients with CKD undergoing non-cardiac surgery. Methods: A prospective observational multicentre study was done on 770 patients with CKD. The primary outcome ("Event") was one or more than one of sudden cardiac death, pulmonary oedema, acute coronary syndrome, arrhythmia and 30-day mortality. Secondary outcome was hypertension and hypotension. Predictors of cardiac risk were identified. A scoring tool was developed on the 2018 dataset and was validated on the 2019 dataset. Results: The overall incidence of cardiac events was 290 (37.66%) whereas the incidence of major adverse cardiac and cerebrovascular events was 15.04%. Mortality due to cardiac cause was 13 (1.68%). On multivariate regression analysis, seven perioperative variables had significant association with increased risk of events: age > 65 years ( Conclusion: This risk scoring tool based on preoperative variables will help to predict the risk of events in high-risk CKD patients undergoing non-cardiac surgery. This will help in better counselling and optimisation.

Indexed as

Cardiovascular diseasesdeath,sudden cardiacperioperative carerenal insufficiency chronicrisk assessment

Identifiers

PMID35663210
PMCPMC9159394
OpenAlexW4226192569

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.