The uncertainty of tuberculosis diagnosis

Sumona Datta; Carlton A. Evans

doi:10.1016/s1473-3099(20)30400-x

The uncertainty of tuberculosis diagnosis

Sumona Datta
, Carlton A. Evans

Clinical Sciences

Imperial College London
Universidad Peruana Cayetano Heredia
Asociación Benéfica Prisma

Research output: Contribution to journal › Comment/debate

8 Citations (Scopus)

Abstract

Tuberculosis is estimated to affect 10 million people each year, but this statistic is remarkably uncertain: 30% are countries' estimates of undiagnosed, untreated, or unreported cases. Furthermore, about half of tuberculosis diagnoses globally are uncertain because they rely entirely on the non-specific clinical features of tuberculosis, without any laboratory confirmation.

Original language	English
Pages (from-to)	1002-1004
Number of pages	3
Journal	The Lancet Infectious Diseases
Volume	20
Issue number	9
Early online date	18 May 2020
DOIs	https://doi.org/10.1016/s1473-3099(20)30400-x
Publication status	Published - 1 Sept 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1016/s1473-3099(20)30400-xLicence: CC BY

1-s2Final published version, 303 KBLicence: CC BY

Cite this

@article{e19d4c2ba6bb4701be66e142410fab03,

title = "The uncertainty of tuberculosis diagnosis",

abstract = "Tuberculosis is estimated to affect 10 million people each year, but this statistic is remarkably uncertain: 30\% are countries' estimates of undiagnosed, untreated, or unreported cases. Furthermore, about half of tuberculosis diagnoses globally are uncertain because they rely entirely on the non-specific clinical features of tuberculosis, without any laboratory confirmation.",

author = "Sumona Datta and Evans, \{Carlton A.\}",

year = "2020",

month = sep,

day = "1",

doi = "10.1016/s1473-3099(20)30400-x",

language = "English",

volume = "20",

pages = "1002--1004",

journal = "The Lancet Infectious Diseases",

issn = "1473-3099",

publisher = "Elsevier Ltd",

number = "9",

}

TY - JOUR

T1 - The uncertainty of tuberculosis diagnosis

AU - Datta, Sumona

AU - Evans, Carlton A.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - Tuberculosis is estimated to affect 10 million people each year, but this statistic is remarkably uncertain: 30% are countries' estimates of undiagnosed, untreated, or unreported cases. Furthermore, about half of tuberculosis diagnoses globally are uncertain because they rely entirely on the non-specific clinical features of tuberculosis, without any laboratory confirmation.

AB - Tuberculosis is estimated to affect 10 million people each year, but this statistic is remarkably uncertain: 30% are countries' estimates of undiagnosed, untreated, or unreported cases. Furthermore, about half of tuberculosis diagnoses globally are uncertain because they rely entirely on the non-specific clinical features of tuberculosis, without any laboratory confirmation.

U2 - 10.1016/s1473-3099(20)30400-x

DO - 10.1016/s1473-3099(20)30400-x

M3 - Comment/debate

SN - 1473-3099

VL - 20

SP - 1002

EP - 1004

JO - The Lancet Infectious Diseases

JF - The Lancet Infectious Diseases

IS - 9

ER -

The uncertainty of tuberculosis diagnosis

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this