Evidence map›Paper›PMID 32337798›Full record

ArticleTransboundary and emerging diseases2020

Quantification of the sensitivity of early detection surveillance.

A R Cameron, A Meyer, C Faverjon, C Mackenzie

Open access · hybridAbstract read
In one paragraph

Article in Transboundary and emerging diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

A R CameronAusvet Europe, Lyon, 69001, France.ORCID https://orcid.org/0000-0001-8801-0366
A MeyerAusvet Europe, Lyon, 69001, France.ORCID https://orcid.org/0000-0003-0105-0926
C FaverjonAusvet Europe, Lyon, 69001, France.ORCID https://orcid.org/0000-0001-6737-1883
C MackenzieAusvet Europe, Lyon, 69001, France.ORCID https://orcid.org/0000-0003-0266-2000
Lyon College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection surveillance is used for various purposes, including the early detection of non-communicable diseases (e.g. cancer screening), of unusual increases of disease frequency (e.g. influenza or pertussis outbreaks), and the first occurrence of a disease in a previously free population. This latter purpose is particularly important due to the high consequences and cost of delayed detection of a disease moving to a new population. Quantifying the sensitivity of early detection surveillance allows important aspects of the performance of different systems, approaches and authorities to be evaluated, compared and improved. While quantitative evaluation of the sensitivity of other branches of surveillance has been available for many years, development has lagged in the area of early detection, arguably one of the most important purposes of surveillance. This paper, using mostly animal health examples, develops a simple approach to quantifying the sensitivity of early detection surveillance, in terms of population coverage, temporal coverage and detection sensitivity. This approach is extended to quantify the benefits of risk-based approaches to early detection surveillance. Population-based clinical surveillance (based on either farmers and their veterinarians, or patients and their local health services) provides the best combination of sensitivity, practicality and cost-effectiveness. These systems can be significantly enhanced by removing disincentives to reporting, for instance by implementing effective strategies to improve farmer awareness and engagement with health services and addressing the challenges of well-intentioned disease notification policies that inadvertently impose barriers to reporting.

Indexed as

Early DiagnosisAnimalsAnimal WelfareDisease NotificationDisease OutbreaksFarmersHumansPopulation SurveillancePublic HealthRiskSensitivity and SpecificityVeterinariansclinical surveillanceearly detection surveillancequantificationrisk-basedsensitivitysyndromic surveillance

Identifiers

PMID32337798
PMCPMC7267659
OpenAlexW3018413888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.