Evidence map›Paper›PMID 31633858›Full record

SynthesisTropical medicine & international health : TM & IH2019

Using hospital-based studies of community-onset bloodstream infections to make inferences about typhoid fever incidence.

Christian S Marchello, Ariella P Dale, Sruti Pisharody, John A Crump

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Tropical medicine & international health : TM & IH, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

4 authors at 3 institutions in 2 countries.

Christian S MarchelloCentre for International Health, University of Otago, Dunedin, New Zealand.
Ariella P DaleColorado Department of Public Health and Environment, Denver, CO, USA.
Sruti PisharodyDuke University School of Medicine, Durham, NC, USA.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.
University of Otago · NZColorado Department of Public Health and Environment · USDuke University · US

Funding

Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
Bill & Melinda Gates Foundation OPP1125993Bill & Melinda Gates Foundation OPP1151153Bill & Melinda Gates Foundation OPP1158210NIAID NIH HHS R01 AI121378NIH HHS R01AI121378
6 · The paper itself

Abstract

objectivesHospital-based studies of community-onset bloodstream infections (CO-BSI) are less resource-intensive to carry out than population-based incidence studies. We examined several metrics capturing the potential role of Salmonella Typhi as a cause of CO-BSI for making inferences about incidence.

methodsWe systematically reviewed three databases for hospital-based studies of CO-BSI. We determined, by study, the prevalence and rank order of Salmonella among pathogenic bloodstream isolates, and the prevalence ratio of Salmonella Typhi to Escherichia coli (S:E ratio). We then describe these hospital-based study metrics in relation to population-based typhoid fever incidence data from a separate systematic review.

resultsForty-four studies met the inclusion criteria, of which 23 (52.3%) isolated Salmonella Typhi at least once. Among studies isolating Salmonella Typhi, the median (interquartile range) prevalence and rank order of Salmonella Typhi compared to other pathogens isolated in BSI was 8.3% (3.2-37.9%) and 3 (1-6), respectively. The median (interquartile range) S:E ratio was 1.0 (0.4-3.0). With respect to incidence, in Pemba Island, Tanzania, prevalence, rank order, S:E ratio, and incidence was 64.8%, 1, 9.2 and 110 cases per 100 000, respectively, and in Boulkiemdé, Burkina Faso, was 13.3%, 3, 2.3 and 249 cases per 100 000.

conclusionsWe describe considerable variation in place and time for Salmonella Typhi prevalence, rank order, and S:E ratio among hospital-based studies of CO-BSI. Data from simultaneous typhoid prevalence and incidence studies are limited. We propose that hospital-based study metrics warrant evaluation for making inference about typhoid incidence and as covariates in typhoid incidence models.

Indexed as

HospitalizationBacteremiaBurkina FasoFemaleHumansIncidenceMalePrevalenceSalmonella typhiTanzaniaTyphoid Feverfièvre typhoïdemodélisationmodellingprevalenceprévalenceSalmonella typhiSalmonella Typhityphoid fever

Identifiers

PMID31633858
PMCPMC6916262
OpenAlexW2981820124

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.