A systematic bias assessment of top-cited full-length original clinical investigations related to COVID-19

Islam Y. Elgendy; Nayef Nimri; Amr F. Barakat; Joseph Ibrahim; John Mandrola; Andrew Foy

doi:10.1016/j.ejim.2021.01.018

A systematic bias assessment of top-cited full-length original clinical investigations related to COVID-19

Islam Y. Elgendy, Nayef Nimri, Amr F. Barakat, Joseph Ibrahim, John Mandrola, Andrew Foy

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	104-106
Number of pages	3
Journal	European Journal of Internal Medicine
Volume	86
DOIs	https://doi.org/10.1016/j.ejim.2021.01.018
State	Published - Apr 2021

All Science Journal Classification (ASJC) codes

Internal Medicine

Access to Document

10.1016/j.ejim.2021.01.018

Cite this

@article{5c6c268012e74236aeba07a5e04fabec,

title = "A systematic bias assessment of top-cited full-length original clinical investigations related to COVID-19",

author = "Elgendy, {Islam Y.} and Nayef Nimri and Barakat, {Amr F.} and Joseph Ibrahim and John Mandrola and Andrew Foy",

year = "2021",

month = apr,

doi = "10.1016/j.ejim.2021.01.018",

language = "English (US)",

volume = "86",

pages = "104--106",

journal = "European Journal of Internal Medicine",

issn = "0953-6205",

publisher = "Elsevier",

}

TY - JOUR

T1 - A systematic bias assessment of top-cited full-length original clinical investigations related to COVID-19

AU - Elgendy, Islam Y.

AU - Nimri, Nayef

AU - Barakat, Amr F.

AU - Ibrahim, Joseph

AU - Mandrola, John

AU - Foy, Andrew

PY - 2021/4

Y1 - 2021/4

UR - http://www.scopus.com/inward/record.url?scp=85100672596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85100672596&partnerID=8YFLogxK

U2 - 10.1016/j.ejim.2021.01.018

DO - 10.1016/j.ejim.2021.01.018

M3 - Letter

C2 - 33541829

AN - SCOPUS:85100672596

SN - 0953-6205

VL - 86

SP - 104

EP - 106

JO - European Journal of Internal Medicine

JF - European Journal of Internal Medicine

ER -

A systematic bias assessment of top-cited full-length original clinical investigations related to COVID-19

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this