Evidence map›Paper›PMID 34857579›Full record

ArticleBMJ open2021

Establishing a sentinel surveillance system for the novel COVID-19 in a resource-limited country: methods, system attributes and early findings.

Pritimoy Das, Zubair Akhtar, Syeda Mah-E-Muneer, Md Ariful Islam, Mohammed Ziaur Rahman, Mustafizur Rahman, Mahmudur Rahman, Mahbubur Rahman, Mallick Masum Billah, Asm Alamgir and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

14 authors at 2 institutions in 1 country.

Pritimoy DasInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh pritimoydas@gmail.com.ORCID 0000-0001-8353-120X
Zubair AkhtarInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.ORCID 0000-0001-5054-9243
Syeda Mah-E-MuneerInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Ariful IslamInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Mohammed Ziaur RahmanInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Mustafizur RahmanInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Mahmudur RahmanInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Mahbubur RahmanInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Mallick Masum BillahInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Asm AlamgirInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Meerjady Sabrina FloraInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Tahmina ShirinInstitute of Epidemiology Disease Control and Research, Dhaka, Bangladesh.
Sayera BanuInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Fahmida ChowdhuryInfectious Diseases Division (IDD), International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
International Centre for Diarrhoeal Disease Research · BDInstitute of Epidemiology, Disease Control and Research · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo establish a hospital-based platform to explore the epidemiological and clinical characteristics of patients screened for COVID-19.

designHospital-based surveillance.

settingThis study was conducted in four selected hospitals in Bangladesh during 10 June-31 August 2020.

participantsIn total, 2345 patients of all age (68% male) attending the outpatient and inpatient departments of surveillance hospitals with any one or more of the following symptoms within last 7 days: fever, cough, sore throat and respiratory distress. OUTCOME MEASURES: The outcome measures were COVID-19 positivity and mortality rate among enrolled patients. Pearson's χ

resultsCOVID-19 was detected among 922 (39%) enrolled patients. It was more common in outpatients with a peak positivity in second week of July (112, 54%). The median age of the confirmed COVID-19 cases was 38 years (IQR: 30-50), 654 (71%) were male and 83 (9%) were healthcare workers. Cough (615, 67%) was the most common symptom, followed by fever (493, 53%). Patients with diabetes were more likely to get COVID-19 than patients without diabetes (48% vs 38%; OR: 1.5; 95% CI: 1.2 to 1.9). The death rate among COVID-19 positive was 2.3%, n=21. Death was associated with age ≥60 years (adjusted OR (AOR): 13.9; 95% CI: 5.5 to 34), shortness of breath (AOR: 9.7; 95% CI: 3.0 to 30), comorbidity (AOR: 4.8; 95% CI: 1.1 to 21.7), smoking history (AOR: 2.2, 95% CI: 0.7 to 7.1), attending the hospital in <2 days of symptom onset due to critical illness (AOR: 4.7; 95% CI: 1.2 to 17.8) and hospital admission (AOR: 3.4; 95% CI: 1.2 to 9.8).

conclusionsCOVID-19 positivity was observed in more than one-third of patients with suspected COVID-19 attending selected hospitals. While managing such patients, the risk factors identified for higher death rates should be considered.

Indexed as

COVID-19AdultComorbidityFemaleHospitalizationHumansMaleMiddle AgedSARS-CoV-2Sentinel SurveillanceCOVID-19diagnostic microbiologyepidemiologypublic health

Identifiers

PMID34857579
PMCPMC8640197
OpenAlexW3216125873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.