Evidence map›Paper›PMID 33191994›Full record

ReviewIndian journal of surgical oncology2020

Surgical Oncology Practice in the Wake of COVID-19 Crisis.

Shailesh V Shrikhande, Adarsh Chaudhary, Aravind Krishnamurthy, G V Rao, Harit Chaturvedi, Madhabananda Kar, S V S Deo, Vikram Chaudhari, S P Somashekhar

Abstract readReview
In one paragraph

Review in Indian journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Shailesh V ShrikhandeTata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra India.
Adarsh ChaudharyInstitute of Digestive and Hepatobiliary Sciences, Medanta-The Medcity, Delhi, India.
Aravind KrishnamurthyDepartment of Surgical Oncology, Adyar Cancer Institute, Chennai, Tamilnadu India.
G V RaoAsian Institute of Gastroenterology, Hyderabad, Telangana India.
Harit ChaturvediMax Institute of Cancer Care, Max Group of Hospitals, Delhi, India.
Madhabananda KarAIIMS, Bhubaneshwar, Orissa India.
S V S DeoDepartment of Surgical Oncology, AIIMS (ICRH and NCI), Delhi, India.
Vikram ChaudhariDepartment of Surgical Oncology, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra India.
S P SomashekharManipal Hospitals, Bengaluru, Karnataka India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome (SARS-CoV-2) outbreak has placed unprecedented challenges globally dismantling healthcare systems and forcing rapid transformations of healthcare services. In patients with cancer, these changes are having profound effects on vital aspects of their care. It has been advised that hospitals discontinue elective surgery and work on triage of nonemergent surgical procedures during the pandemic. The purpose of this article is to highlight the recommendations and adapted workflow from the private and public tertiary level hospitals in India advising on the best practices and views on better patient management, redesigning of SOPs for OR, surgeon, and staff safety and resumption of cancer care especially from surgical perspective. Different concerns are addressed that are necessary to optimize the quality of care provided to COVID-19 patients and to reduce the risk of viral transmission to other patients or healthcare workers.

Indexed as

Cancer careCOVID-19OncologySARS-CoV-2Surgical oncology

Identifiers

PMID33191994
PMCPMC7648662

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.