Evidence map›Paper›PMID 33236026›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Asymptomatic

C J Gill, C E Gunning, W MacLeod, L Mwananyanda, D Thea, R Pieciak, G Kwenda, Z Mupila, P Rohani

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. 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
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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Updated by
5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

C J GillBoston University School of Public Health, Deptartment of Global Health.
C E GunningUniversity of Georgia, Odum School of Ecology.
W MacLeodBoston University School of Public Health, Deptartment of Global Health.
L MwananyandaBoston University School of Public Health, Deptartment of Global Health.
D TheaBoston University School of Public Health, Deptartment of Global Health.
R PieciakBoston University School of Public Health, Deptartment of Global Health.
G KwendaUniversity of Zambia, School of Health Sciences, Department of Biomedical Science.
Z MupilaRight to Care - Zambia.
P RohaniUniversity of Georgia, Odum School of Ecology.
Boston University · USUniversity of Georgia · USRight to Care · ZMUniversity of Zambia · ZM

Funding

SAMIPS-NPC: Southern Africa Mother Infant Pertussis Study, Nasopharyngeal CarriageR01AI133080 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GILL, CHRISTOPHER J, MWANANYANDA, LAWRENCE · 2017 to 2019
$2.3M
NIAID NIH HHS R01 AI133080
6 · The paper itself

Abstract

Despite long-standing vaccination programs, pertussis incidence has increased in numerous countries; transmission by asymptomatic individuals is a suspected driver of this resurgence. However, unequivocal evidence documenting asymptomatic infections in adults and children is lacking due, in part, to the cross-sectional nature of most pertussis surveillance studies. In addition, modern pertussis surveillance relies on quantitative PCR (qPCR) using fixed diagnostic thresholds to identify cases. To address this gap, we present a longitudinal analysis of 17,442 nasopharyngeal samples collected from a cohort of 1,320 Zambian mother/infant pairs. Using full-range cycle threshold (CT) values from IS481 qPCR assays, we document widespread asymptomatic infections among mothers and also, surprisingly, among young infants. From an initial group of eight symptomatic infants who tested positive by qPCR, we identify frequent contemporaneous subclinical infections in mothers. Within the full cohort, we observe strong temporal correlation between low- and high-intensity qPCR signals. We compute a single time-averaged score for each individual summarizing the evidence for pertussis infection (EFI), and show that EFI strongly clusters within mother/infant pairs, and is strongly associated with clinical symptomatology and antibiotic use. Overall, the burden of pertussis here is substantially underestimated when restricting diagnostic criteria to IS481 CT≤35. Rather, we find that full-range CT values provide valuable insights into pertussis epidemiology in this population, and illuminate the infection arc within individuals. These findings have significant implications for quantifying asymptomatic pertussis prevalence and its contribution to overall transmission. Our results also expose limitations of threshold-based interpretations of qPCR assays in infectious disease surveillance.

Indexed as

Africaasymptomatic infectionsBordetella pertussiscohort studyinfantslongitudinal analysisqPCRquantitative PCRwhooping cough

Identifiers

PMID33236026
PMCPMC7685339
OpenAlexW3100857987

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.