Evidence map›Paper›PMID 37250575›Full record

ArticlePakistan journal of medical sciences

Hematological findings in COVID-19 and their correlation with severity of Disease.

Namra Mahmood, Zahra Riaz, Arooj Sattar, Mehwish Kiran

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. 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. Review
  2. Review
  3. International journal of molecular sciences · 2023
    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

4 authors.

Namra MahmoodNamra Mahmood, MBBS, M.Phil. Assistant Professor, Pathology. Central Park Medical College, Lahore - Pakistan.
Zahra RiazZahra Riaz, MBBS, M.Phil. Senior Demonstrator, Department of Pathology. Central Park Medical College, Lahore - Pakistan.
Arooj SattarArooj Sattar, MBBS, M.Phil. Assistant Professor, Pathology. Central Park Medical College, Lahore - Pakistan.
Mehwish KiranMehwish Kiran, Senior Registrar, Pulmonology. Central Park Medical College, Lahore - Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the efficacy of hematological parameters to predict severity of COVID-19 patients. Method: This was a cross-sectional comparative study conducted at Central Park Teaching Hospital, Lahore in COVID ward and COVID ICU between April 23, 2021 to June 23, 2021. Patients of all ages and both genders with positive PCR admitted in the COVID ward and ICU during this time span of two months were included in the study. Data was collected retrospectively. Results: This study included 50 patients with male to female ratio of 1.38:1. Though males are more affected by COVID-19 but the difference is not statistically significant. The mean age of the study population was 56.21 and the patients in the severe disease group have higher age. It was observed that in severe/critical group the mean values of total leukocyte count 21.76×10 Conclusion: It can be concluded from the study that total leucocyte count, absolute neutrophil count and neutrophil lymphocyte ratio can predict in-hospital mortality and morbidity in COVID-19 patients.

Indexed as

Absolute neutrophil countAPTTCOVID-19Hematological parametersLength of hospital stayLymphocyte countNeutrophil lymphocyte ratioPlatelet countPTSeverityTotal leukocyte countTotal white cell count

Identifiers

PMID37250575
PMCPMC10214815

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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.