Evidence map›Paper›PMID 34436785›Full record

SynthesisJournal of medical virology2022

Role of platelet-to-lymphocyte count ratio (PLR), as a prognostic indicator in COVID-19: A systematic review and meta-analysis.

Soumya Sarkar, Sundara Kannan, Puneet Khanna, Akhil Kant Singh

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Soumya SarkarDepartment of Anaesthesia, Pain Medicine & Critical Care, AIIMS, Ansari Nagar, New Delhi, India.ORCID 0000-0003-0497-9909
Sundara KannanDepartment of Anaesthesia, Pain Medicine & Critical Care, AIIMS, Ansari Nagar, New Delhi, India.
Puneet KhannaDepartment of Anaesthesia, Pain Medicine & Critical Care, AIIMS, Ansari Nagar, New Delhi, India.ORCID 0000-0002-9243-9963
Akhil Kant SinghDepartment of Anaesthesia, Pain Medicine & Critical Care, AIIMS, Ansari Nagar, New Delhi, India.ORCID 0000-0002-6662-9819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic predictors are of paramount interest for prompt intervention and optimal utilization of the healthcare system in the ongoing context of the COVID-19 pandemic. The platelet-to-lymphocyte count ratio (PLR), has emerged as a potential tool for risk stratification of critically ill patients with sepsis. The current systematic review explores the utility of PLR as a prognostic predictor of COVID-19 patients. We screened the electronic databases until May 15, 2021 after enrolling in PROSPERO (CRD42021220269). Studies evaluating the association between PLR on admission and outcomes in terms of mortality and severity among COVID-19 patients were included. We retrieved 32 studies, with a total of 2768 and 3262 COVID-19 patients for mortality and disease severity outcomes. Deceased and critically ill patients had higher PLR levels on admission in comparison to survivors and non-severe patients (mean differences [MD] = 66.10; 95% confidence interval [CI]: 47.75-84.44; p < 0.00001 and MD = 86.74; 95% CI: 67.7-105.7; p < 0.00001, respectively). A higher level of PLR on admission in COVID-19 patients is associated with increased morbidity and mortality. However, the evidence is of low quality and further studies regarding the cut-off value of PLR are the need of the hour.

Indexed as

Lymphocyte CountPlatelet CountCOVID-19HumansPrognosisSeverity of Illness IndexCoronavirus disease 2019Platelet-lymphocyte count ratioSevere acute respiratory syndrome coronavirus-2

Identifiers

PMID34436785
PMCPMC8661888

What OpenQuestion holds

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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.