Evidence map›Paper›PMID 37159588›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Severity and mortality associated with COVID-19 among children hospitalised in tertiary care centres in India: a cohort study.

Vidushi Gupta, Amitabh Singh, Sheetal Ganju, Raghvendra Singh, Ramachandran Thiruvengadam, Uma Chandra Mouli Natchu, Nitesh Gupta, Deepali Kaushik, Surbhi Chanana, Dharmendra Sharma and 13 more

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  4. Review
  5. Article
  6. 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

23 authors.

Vidushi GuptaTranslational Health Science and Technology Institute (THSTI), Faridabad, India.
Amitabh SinghVardhman Mahavir Medical College and Safdarjung Hospital (VMMC & SJH), New Delhi, India.
Sheetal GanjuEmployees' State Insurance Corporation (ESIC) Medical College and Hospital, Faridabad, India.
Raghvendra SinghMaulana Azad Medical College, and Lok Nayak Hospital (MAMC & LNH), New Delhi, India.
Ramachandran ThiruvengadamTranslational Health Science and Technology Institute (THSTI), Faridabad, India.
Uma Chandra Mouli NatchuSt. John's Medical College and Research Institute (SJRI), Bengaluru, India.
Nitesh GuptaVardhman Mahavir Medical College and Safdarjung Hospital (VMMC & SJH), New Delhi, India.
Deepali KaushikEmployees' State Insurance Corporation (ESIC) Medical College and Hospital, Faridabad, India.
Surbhi ChananaEmployees' State Insurance Corporation (ESIC) Medical College and Hospital, Faridabad, India.
Dharmendra SharmaTranslational Health Science and Technology Institute (THSTI), Faridabad, India.
Mudita GosainTranslational Health Science and Technology Institute (THSTI), Faridabad, India.
Suman Pn RaoSt. John's Medical College and Research Institute (SJRI), Bengaluru, India.
Narendra PandeyAsian Institute of Medical Sciences (ASIAN), Faridabad, India.
Arvind GuptaAsian Institute of Medical Sciences (ASIAN), Faridabad, India.
Sandeep SinghAsian Institute of Medical Sciences (ASIAN), Faridabad, India.
Urmila JhambMaulana Azad Medical College, and Lok Nayak Hospital (MAMC & LNH), New Delhi, India.
Lalitha Annayappa VenkateshSt. John's Medical College and Research Institute (SJRI), Bengaluru, India.
Chitra DinakarSt. John's Medical College and Research Institute (SJRI), Bengaluru, India.
Anil Kumar PandeyEmployees' State Insurance Corporation (ESIC) Medical College and Hospital, Faridabad, India.
Rani GeraVardhman Mahavir Medical College and Safdarjung Hospital (VMMC & SJH), New Delhi, India.
Harish ChellaniVardhman Mahavir Medical College and Safdarjung Hospital (VMMC & SJH), New Delhi, India.
Nitya WadhwaTranslational Health Science and Technology Institute (THSTI), Faridabad, India.
Shinjini BhatnagarTranslational Health Science and Technology Institute (THSTI), Faridabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is critical to identify high-risk groups among children with COVID-19 from low-income and middle-income countries (LMICs) to facilitate the optimum use of health system resources. The study aims to describe the severity and mortality of different clinical phenotypes of COVID-19 in a large cohort of children admitted to tertiary care hospitals in India. Methods: Children aged 0-19 years with evidence of SARS-CoV-2 infection (real time polymerase chain reaction or rapid antigen test positive) or exposure (anti-SARS-CoV-2 antibody, or history of contact with SARS-CoV-2) were enrolled in the study, between January 2021 and March 2022 across five tertiary hospitals in India. All study participants enrolled prospectively and retrospectively were followed up for three months after discharge. COVID-19 was classified into severe (Multisystem Inflammatory Syndrome in Children (MIS-C), severe acute COVID-19, 'unclassified') or non-severe disease. The mortality rates were estimated in different phenotypes. Findings: Among 2468 eligible children enrolled, 2148 were hospitalised. Signs of illness were present in 1688 (79%) children with 1090 (65%) having severe disease. High mortality was reported in MIS-C (18.6%), severe acute COVID-19 (13.3%) and the unclassified severe COVID-19 disease (12.3%). Mortality remained high (17.5%) when modified MIS-C criteria was used. Non-severe COVID-19 disease had 14.1% mortality when associated with comorbidity. Interpretation: Our findings have important public health implications for low resource settings. The high mortality underscores the need for better preparedness for timely diagnosis and management of COVID-19. Children with associated comorbidity or coinfections are a vulnerable group and need special attention. MIS-C requires context specific diagnostic criteria for low resource settings. It is important to evaluate the clinical, epidemiological and health system-related risk factors associated with severe COVID-19 and mortality in children from LMICs. Funding: Department of Biotechnology, Govt of India and Department of Maternal, Child and Adolescent Health and Aging, WHO, Geneva, Switzerland.

Indexed as

ChildLMICsMIS-CMortalitySevere COVID-19 disease

Identifiers

PMID37159588
PMCPMC10110927

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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.