Evidence map›Paper›PMID 37773719›Full record

ArticleImmunity, inflammation and disease2023

Predictive value of hematological indices on incidence and severity of pulmonary embolism in COVID-19 patients.

Hanieh Radkhah, Ensieh Sadat Mansouri, Shiva Rahimipour Anaraki, Milad Gholizadeh Mesgarha, Ali Sheikhy, Mohamad Mehdi Khadembashiri, Mohamad Amin Khadembashiri, Mohamad Eslami, Tara Mahmoodi, Behnaz Inanloo and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Hanieh RadkhahDepartment of Internal Medicine, School of Medicine, Sina Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Ensieh Sadat MansouriDepartment of Internal Medicine, School of Medicine, Sina Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Shiva Rahimipour AnarakiFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Milad Gholizadeh MesgarhaFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID 0000-0002-5101-6112
Ali SheikhyStudents' Scientific Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohamad Mehdi KhadembashiriStudents' Scientific Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohamad Amin KhadembashiriStudents' Scientific Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohamad EslamiStudents' Scientific Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Tara MahmoodiStudents' Scientific Research Center, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Behnaz InanlooSina Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Arash Pour MohammadFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Tehran University of Medical Sciences · IRIran University of Medical Sciences · IRSina Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary thromboembolism (PTE) is a common complication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which raises the COVID-19 disease's fatality rate from 3% to 45%. Nevertheless, due to fairly indistinguishable clinical symptoms and a lack of validated clinical prediction models, PTE diagnosis in COVID-19 patients is challenging. This study aims to investigate the applicability of hematological indices to predict PTE incidence and its severity in SARS-CoV-2 patients.

methodsA retrospective cohort study was conducted on hospitalized patients with a confirmed diagnosis of SARS-CoV-2 infection who underwent CT angiography to assess probable PTE in them. The correlation between complete blood count parameters 1 day before CT angiography and CT angiography outcomes, and simplified pulmonary embolism severity index (s-PESI) was investigated.

resultsWe discovered that among individuals with a probable PTE, males and those with higher platelet-to-lymphocyte (PLR) and neutrophil-to-lymphocyte (NLR) ratios had a greater likelihood of PTE incidence (p < .001, .027, and .037, respectively). PLR was a significant and independent predictor of PTE with a p value of .045. Moreover, a higher neutrophil count was associated with a higher s-PESI score in COVID-19 patients developing PTE (p: .038).

conclusionsAmong hematological indices, NLR and more precisely PLR are cost-effective and simply calculable markers that can assist physicians in determining whether or not COVID-19 patients with clinically probable PTE require CT angiography and the higher neutrophil count can be employed as an indicator of PTE severity in COVID-19 patients. Further large multicenter and prospective studies are warranted to corroborate these observations.

Indexed as

COVID-19Pulmonary EmbolismHumansIncidenceMaleRetrospective StudiesSARS-CoV-2neutrophil-to-lymphocyte ratioPESI scoreplatelet-to-lymphocyte ratiopulmonary thromboembolismSARS-CoV-2

Identifiers

PMID37773719
PMCPMC10540144
OpenAlexW4387166037

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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.