Evidence map›Paper›PMID 35071985›Full record

ArticleSN comprehensive clinical medicine2022

Evaluation of Hematological Parameters in Predicting Intensive Care Unit Admission in COVID-19 Patients.

Animesh Saurabh, Biswajit Dey, Vandana Raphael, Bhupen Barman, Priyanka Dev, Iadarilang Tiewsoh, Bifica Sofia Lyngdoh, Kaustuv Dutta

Abstract read
In one paragraph

Article in SN comprehensive clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Animesh SaurabhDepartment of Pathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018 India.ORCID 0000-0002-9877-747X
Biswajit DeyDepartment of Pathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018 India.ORCID 0000-0003-3332-1911
Vandana RaphaelDepartment of Pathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018 India.ORCID 0000-0002-1422-2240
Bhupen BarmanDepartment of Internal Medicine, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.ORCID 0000-0002-5433-1310
Priyanka DevDepartment of Anaesthesia and Critical Care, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.ORCID 0000-0002-9964-0045
Iadarilang TiewsohDepartment of Internal Medicine, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.ORCID 0000-0002-8182-8904
Bifica Sofia LyngdohDepartment of Pathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018 India.ORCID 0000-0002-2105-1347
Kaustuv DuttaDepartment of Anaesthesia and Critical Care, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.ORCID 0000-0002-5749-3761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological parameters like total leukocyte count (TLC), neutrophil, lymphocyte, and absolute eosinophil counts (AEC), and neutrophil-to-lymphocyte ratio (NLR) are known to predict the severity of novel coronavirus disease 2019 (COVID-19) patients. In the present study, we aimed to study the role of complete blood count parameters in triaging these patients requiring intensive care unit (ICU) admission. A retrospective study was done over a period of 2 months. Patients, who were ≥ 18 years of age with COVID-19 confirmed on SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) and whose routine hematology counts were sent within 24 h of admission, were included in the study. Cut-off values of 47.5 years for age, 11.3 × 10

Indexed as

COVID-19EosinophilIntensive care unitsLymphopeniaNeutrophils

Identifiers

PMID35071985
PMCPMC8761838

What OpenQuestion holds

Textmetadata
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.