Evidence map›Paper›PMID 32699679›Full record

ArticleCureus2020

Epidemiological and Clinical Features of SARS-CoV-2: A Retrospective Study from East Karachi, Pakistan.

Shumaila Tahir, Syeda Anjala Tahir, Taha Bin Arif, Bushra Majid, Zainab Majid, Farheen Malik, Ashfaque Ahmed, Arslan Memon, Jawad Ahmed

Abstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Shumaila TahirInternal Medicine, District Health Office, East Karachi, PAK.
Syeda Anjala TahirInternal Medicine, Civil Hospital Karachi, Karachi, PAK.
Taha Bin ArifInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Bushra MajidInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Zainab MajidInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Farheen MalikInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Ashfaque AhmedPreventive Medicine, Epidemiology and Public Health, District Health Office, East Karachi, PAK.
Arslan MemonPublic Health, District Health Office, East Karachi, PAK.
Jawad AhmedInternal Medicine, Dow University of Health Sciences, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to almost every country on the globe, and each country is reporting the symptomatic presentation of their patients to give better insight into the various clinical presentations of SARS-CoV-2. However, the epidemiological literature from Pakistan is scanty. Methods We retrospectively analyzed data from 412 patients who were residents of East Karachi and tested positive for SARS-CoV-2 between February 26 to April 24, 2020. Patients' demographics, symptoms, travel and contact history, and outcomes were recorded. All statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 22 (IBM SPSS Statistics for Windows, IBM Corp, Armonk, NY). Results Most of the patients were male (64.6%), the majority (43.3%) belonging to the 21- to 40-year age group. Most of the patients (65.5%) were residents of Gulshan Iqbal. A total of 15.8% of the patients were admitted to the hospital, and 3.9% of patients expired. The three most common presenting symptoms were fever (74.8%), cough (60.4%), and flu (35.5%). The majority of patients (89.3%) gave a history of contact with SARS-CoV-2 patients. Conclusion The number of SARS-CoV-2 cases is rapidly increasing in Karachi, Pakistan. There is a need to educate the population about the most common sign and symptoms of the virus so that individuals can identify these symptoms and get themselves tested. The concerned authorities should devise an adequate and effective plan to flatten the infectivity curve.

Indexed as

clinical featuresclinical symptomscoronavirus diseasecovid-19epidemiologyinfection spreadisolation and quarantinepakistanretrospectivesars-cov-2 (severe acute respiratory syndrome coronavirus -2)

Identifiers

PMID32699679
PMCPMC7372194

What OpenQuestion holds

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LicenceCC BY
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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.