Evidence map›Paper›PMID 33100659›Full record

ReviewJournal of anaesthesiology, clinical pharmacology2020

Trauma care and COVID-19 pandemic.

Chhavi Sawhney, Yudhyavir Singh, Kajal Jain, Ravindra Sawhney, Anjan Trikha

Abstract readReview
In one paragraph

Review in Journal of anaesthesiology, clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Impact of the COVID-19 Pandemic on the Incidence, Etiology, Demographics, and Treatment of Craniomaxillofacial Trauma.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
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  12. Factors influencing online orthopedic doctor-patient consultations.BMC medical informatics and decision making · 2021
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  14. Observational
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

5 authors.

Chhavi SawhneyDepartment of Anaesthesiology and Critical Care, JPNATC, AIIMS, New Delhi, India.
Yudhyavir SinghDepartment of Anaesthesiology and Critical Care, JPNATC, AIIMS, New Delhi, India.
Kajal JainDepartment of Anaesthesiology, Critical Care and Pain Medicine, PGIMER, Chandigarh, India.
Ravindra SawhneyDepartment of Cardiac Anaesthesiology, Institute of Anaesthesiology and Critical Care, Medanta, Medicity, Gurugram, Haryana, India.
Anjan TrikhaDepartment of Anaesthesiology and Critical Care, JPNATC, AIIMS, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus SARS- CoV-2 (COVID-19) pandemic has overwhelmed the ability of health care systems all over the world. With the spread of the disease, countries have adopted different models to reorganize infrastructure and reallocate the resources to deal with the pandemic. All the nonurgent hospital services have been postponed. But, trauma and emergency services continue to function according to the established protocols with few modifications. During the pandemic, trauma care is based on clinical urgency, safety of the patient as well as health care workers (HCWs) and conservation of resources. The strategies include non-operative management if possible, restricting the number of personnel and utilization of remote consultation or telemedicine. In the present article, we discuss the triage and management of trauma victim during the pandemic, indications for emergency surgery and psychological impact of the pandemic. We also discuss the future challenges during the post-COVID-19 phase.

Indexed as

Covidresourcestrauma

Identifiers

PMID33100659
PMCPMC7573987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.