Evidence map›Paper›PMID 34754984›Full record

ArticleClinical epidemiology and global health

Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020.

Suganya Barani, Nuzrath Jahan, Mathan Karuppiah, Sirshendu Chaudhuri, Mohankumar Raju, Manickam Ponnaiah, Swaminathan Rajaraman, Venktesh Vaidhyalingam, Parasuraman Ganeshkumar, Girish Kumar Cp and 5 more

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Article in Clinical epidemiology and global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

15 authors.

Suganya BaraniHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Nuzrath JahanHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Mathan KaruppiahHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Sirshendu ChaudhuriHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Mohankumar RajuHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Manickam PonnaiahHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Swaminathan RajaramanCancer Institute (WIA), Chennai, India.
Venktesh VaidhyalingamCancer Institute (WIA), Chennai, India.
Parasuraman GaneshkumarHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Girish Kumar CpHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Sendhilkumar MuthappanHospital Cluster Investigation Team: ICMR-National Institute of Epidemiology, Chennai, India.
Jegadeesan MurugesanGreater Chennai City Corporation, Chennai, India.
Mahalakshmi SrinivasanGreater Chennai City Corporation, Chennai, India.
Usha KrishnanGreater Chennai City Corporation, Chennai, India.
Alby John VargheseGreater Chennai City Corporation, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures.

methodsWe conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval.

resultsWe confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. DISCUSSION: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings.

Indexed as

COVID-19Disease outbreaksHospital clusterSARS-CoV-2

Identifiers

PMID34754984
PMCPMC8566092

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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.