Evidence map›Paper›PMID 33505675›Full record

ReviewAnnals of medicine and surgery (2012)2021

Integrated solutions to manage new normals in healthcare-lessons from corona virus disease 2019.

Sachet Dawar, Namita Bhutani, D P S Sudan, Sonali Saini, Prem Kumar Singhal, Mohit Bhardwaj, Ayush Pandey, Adil Jokhi Dara

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of medicine and surgery (2012), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Sachet DawarDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Namita BhutaniDeptt. of Pathology, North DMC Medical College and Hindu Rao Hospital, Delhi, India.
D P S SudanDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Sonali SainiDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Prem Kumar SinghalDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Mohit BhardwajDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Ayush PandeyDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Adil Jokhi DaraDeptt. of Pulmonary Medicine, SGT Medical College & University, Gurugram, Haryana, India.
Shree Guru Gobind Singh Tricentenary University · INHindu Rao Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global outbreak of the corona virus disease 2019 (COVID19) has not only challenged the existing healthcare systems but is also a threat to the world economy and stability. In the recent times the world has seen the best healthcare systems collapsing due to the overwhelming burden. Thus, it shows that there have been major lacunae in the pandemic preparedness across the globe. Hence, there is an urgent need to identify the problems, learn from failures and to prepare for future pandemics to reduce the loss of lives and livelihood. In the modern era, blend of public healthcare systems, medical sciences and technology can be put to use to provide solutions. In this article, the authors propose a developmental model of international integrated database software which would connect all the players involved in the management of a pandemic. Better networking and warning system is a key to successful containment of a new viral outbreak.

Indexed as

Artificial intelligenceCOVID-19Pandemic preparednessTechnology

Identifiers

PMID33505675
PMCPMC7815457
OpenAlexW3119857101

What OpenQuestion holds

Textmetadata
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.