Evidence map›Paper›PMID 38022315›Full record

ReviewCureus2023

Role of Cardiac Troponins in Predicting Adverse Outcomes in Acute Coronary Syndrome With Renal Dysfunction.

Hafseena Noorayingarath, Binay K Panjiyar, Isha Gela, Lokeswaran Ramalingam

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
0.7field-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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

4 authors at 2 institutions in 5 countries.

Hafseena NoorayingarathInternal Medicine, Kanachur Institute of Medical Sciences, Deralakatte, IND.
Binay K PanjiyarInternal Medicine, Harvard Medical School, Boston, USA.
Isha GelaInternal Medicine, David Tvildiani Medical University, Tbilisi, GEO.
Lokeswaran RamalingamInternal Medicine, Crimean Federal University, Simferopol, RUS.
California Institute of Behavioral Neurosciences and Psychology (United States) · USV.I. Vernadsky Crimean Federal University · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A substantial global cause of mortality as well as disability is acute myocardial infarction (AMI). It is also widespread knowledge that patients with chronic kidney disease (CKD) possess greater mortality and cardiovascular disease risks than the rest of the population. A vital biomarker for the diagnosis of AMI is high-sensitive cardiac troponin T (hs-cTnT). Individuals afflicted with severe CKD frequently exhibit increased hs-cTnT levels, which can pose a significant diagnostic challenge in cases of non-ST elevation acute coronary syndrome (NSTE-ACS) necessitating revascularization. Alteration in kidney function exerts an impact on troponin levels, making a single value less useful. As the renal population has an increased risk of non-ST-segment elevation myocardial infarction (NSTEMI), serial tracking of cardiac biomarkers is essential to detect ACS in this population. Numerous studies using algorithmic remedies based on admission troponin and spontaneous variations in troponin concentration have been put forth by researchers to address these issues. A considerable majority of CKD patients can be accurately diagnosed or excluded from having AMI using the approach, which involves serial measures. Patients who suffer from kidney impairment exhibit lesser chances of undergoing angiography or revascularization and receiving preventative therapies. Furthermore, their outcomes are comparatively poorer when compared to patients who possess normal kidney function. Despite studies indicating a higher risk of poor outcomes after AMI in this population, these patients are less likely to receive guideline-indicated care. In this study, we employed a systematic literature review (SLR) methodology to provide an account of the available studies and to draw attention to the importance of cardiac troponins in predicting unfavorable outcomes and algorithms in the prediction, diagnosis, and prognosis of patients with ACS and renal impairment. Eight papers were chosen for in-depth analysis after reviewing 86 articles from trusted publications between 2013 and August 3, 2023. The analysis considered factors such as sensitivity, severity of renal damage, algorithms used, the benefits of algorithms, and the challenges. One must examine the change in cardiac troponin (cTn) and take higher cut-off values into consideration in order to increase the sensitivity and specificity for the diagnosis of AMI. Higher levels of cTn have also been correlated prognostically to unfavorable outcomes like incident heart failure and death from cardiovascular causes. Also, raised troponin levels have been linked to all-cause and cardiovascular death in both dialysis patients and patients with CKD who did not receive dialysis. Future studies should concentrate on whether troponin testing can reclassify risk and provide treatment in people with CKD who are at the greatest threat of death. The clinical practice benefits of routinely measuring cardiac troponin concentrations are largely unknown. Future research should also concentrate on figuring out how troponin testing can influence clinical management and how to address the root reasons for chronic hs-cTnT elevation in patients with CKD, which may include elements like uremic toxicity, macrovascular or microvascular ischemia, anemia, as well as reduced renal clearance.

Indexed as

acs (acute coronary syndrome)acute myocardial infarctionadverse outcomecardiac troponinschronic kidney disease (ckd)end-stage renal disease (esrd)

Identifiers

PMID38022315
PMCPMC10646766
OpenAlexW4387672551

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.