Evidence map›Paper›PMID 37122644›Full record

ArticleJournal of family medicine and primary care2023

The second wave of COVID-19 wreaked havoc: A look at clinical and laboratory parameters of survivors and non-survivors admitted to Intensive Care Unit, a single-centered retrospective study.

Bandana Kumari, Abhilasha Bankul, Amit Kaushik, Akash Bansal, Sadhana Sharma, Ayan Banerjee

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 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
–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

3 citing papers in PubMed.

  1. Budget estimates for financial year 2024-25.Journal of family medicine and primary care · 2024
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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

6 authors.

Bandana KumariDepartment of Biochemistry, AIIMS Patna, Bihar, India.
Abhilasha BankulDepartment of Biochemistry, AIIMS Patna, Bihar, India.
Amit KaushikDepartment of Community Medicine, Dr. RMLIMS, Lucknow, Uttar Pradesh, India.
Akash BansalDepartment of Biochemistry, AIIMS Patna, Bihar, India.
Sadhana SharmaDepartment of Biochemistry, AIIMS Patna, Bihar, India.
Ayan BanerjeeDepartment of Biochemistry, AIIMS Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The second wave of COVID-19 was disastrous and claimed many lives in India and abroad. The most challenging task was to provide the required treatment as per the patient's condition, within a limited span of time. The lack of prognostic predictors at the time of admission led to failure in prioritizing the patient's need for intensive care. Aim: This study was conducted to find out the clinical and laboratory parameters at the time of admission to ICU as predictors of outcomes in COVID-19 patients, which can help in judicious utilization of the available resources for better patient care. Subjects and Methods: Study comprises of 161 ICU admitted patients. Study of clinical traits, comorbidities, test results, and demographic variables were carried out among survivors and non-survivor. Result: Maximum death were patients of age group 21-30 years and male gender. Mortality in hypertensives, diabetics, and patients with sepsis were found to be statistically significant. Patients who developed ARDS and pneumonia or needed ventilation died invariably. High levels of laboratory parameters like IL-6, LDH, PT, INR, aPTT, ferritin, WBC count, and D-dimer were significantly associated with poor outcomes and at a particular cutoff had optimum sensitivity and specificity to predict mortality in ICU admitted COVID-19 patients. At the same time, low lymphocyte count and PaO2/FiO2 ratio was significantly associated with bad prognosis ( Conclusion: This paper will help in prioritizing patients in ICU who need special attention especially at the time of meager supply of resources.

Indexed as

COVID-19D-dimerdiabeteshypertensionICULDHmechanical ventilation

Identifiers

PMID37122644
PMCPMC10131957

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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.