Evidence map›Paper›PMID 36043007›Full record

ReviewCureus2022

The Use of the SMART-COP Score in Predicting Severity Outcomes Among Patients With Community-Acquired Pneumonia: A Meta-Analysis.

Rahat A Memon, Muhammad Affan Rashid, Sahithi Avva, Venkata Anirudh Chunchu, Huda Ijaz, Zubair Ahmad Ganaie, Albeena Kabir Dar, Neelum Ali

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. 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
1.4field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

8 authors at 7 institutions in 5 countries.

Rahat A MemonInternal Medicine, California Institute of Behavioural Neurosciences and Psychology, Fairfield, USA.
Muhammad Affan RashidMedicine, Allama Iqbal Medical College, Lahore, PAK.
Sahithi AvvaMedicine, Lady Hardinge Medical College, New Delhi, IND.
Venkata Anirudh ChunchuMedicine, Avalon University School of Medicine, Willemstad, CUW.
Huda IjazMedical College, Allama Iqbal Medical College, Lahore, PAK.
Zubair Ahmad GanaieInternal Medicine, Holy Family Red Crescent Medical College, Srinagar, IND.
Albeena Kabir DarInternal Medicine, Holy Family Red Crescent Medical College Hospital, Dhaka, BGD.
Neelum AliInternal Medicine, University of Health Sciences, Lahore, PAK.
Allama Iqbal Medical College · PKAvalon University School of Medicine · CWCalifornia Institute of Behavioral Neurosciences and Psychology (United States) · USCrescent University · NGHoly Family Red Crescent Medical CollegeLady Hardinge Medical College · INUniversity of Health Sciences Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumonia is a pathological process of interstitial lung tissue and distal airway and alveolar infection and infiltration. SMART-COP (systolic blood pressure, multilobar infiltrates, albumin, respiratory rate, tachycardia, confusion, oxygen, and pH) is a severity score method designed to identify individuals who require intensive respiratory or vasopressor support (IRVS) support due to pneumonia. Therefore, it is important for management decisions in pneumonia. This meta-analysis was conducted to determine the performance of the SMART-COP score in predicting the prognosis and severity of patients presenting with community-acquired pneumonia (CAP). The current meta-analysis was performed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search was conducted using Medline, Embase, and CINAHL to identify relevant studies assessing the validity of the SMART-COP score in predicting the severity of patients with CAP. Overall, nine studies were included in the current meta-analysis. A pooled sensitivity of the SMART-COP score to predict the use of IRVS is 89% (95% CI: 84%-92%) while its specificity is 68% (95% CI: 65%-70%). The pooled sensitivity of the SMART-COP score to predict 30-day mortality is 92% (95% CI: 89%-94%) while its specificity is 39% (95% CI: 37%-42%). To summarize, SMART-COP is a new, eight-variable instrument that appears to accurately identify patients with CAP who will require IRVS and 30-day mortality. Our findings show that SMART-COP will be a valuable tool for clinicians in accurately predicting illness severity in CAP patients as compared to other scoring systems. SMART-COP can be useful to identify patients who need urgent management.

Indexed as

community-acquired pneumonia (cap)diagnostic test accuracyprognosisseveritysmart-cop

Identifiers

PMID36043007
PMCPMC9409612
OpenAlexW4287833991

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.