Evidence map›Paper›PMID 40866958›Full record

ArticleEmerging infectious diseases2025

Rickettsioses as Underrecognized Cause of Hospitalization for Febrile Illness, Uganda.

Paul W Blair, Sultanah Alharthi, Andrés F Londoño, Abdullah Wailagala, Yukari C Manabe, J Stephen Dumler, Acute Febrile Illness and Sepsis in Uganda Study Teams, Acute Febrile Illness and Sepsis in Uganda Study Team

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Paul W Blair
Sultanah Alharthi
Andrés F Londoño
Abdullah Wailagala
Yukari C Manabe
J Stephen Dumler
Acute Febrile Illness and Sepsis in Uganda Study Teams
Acute Febrile Illness and Sepsis in Uganda Study Team

Funding

Host Ca2+, actin, and ATP production in rickettsia-endothelial cell dysfunctionR21AI171791 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI DUMLER, JOHN STEPHEN · 2022 to 2023
$418k
NIAID NIH HHS R21 AI171791
6 · The paper itself

Abstract

The complexity of rickettsial serodiagnostics during acute illness has limited clinical characterization in Africa. We used archived samples from sepsis (n = 259) and acute febrile illness (n = 70) cohorts in Uganda to identify spotted fever and typhus group rickettsiae by using immunofluorescence assay and clinically validated rRNA reverse transcription PCR (RT-PCR). Among 329 participants, 10.0% had rickettsial infections (n = 33; n = 20 identified with immunofluorescence assay and n = 13 by RT-PCR). Serum rRNA RT-PCR was 75.0% (95% CI 42.8-94.5%) sensitive and 91.2% (95% CI 85.8-95.1%) specific. Thrombocytopenia was more common among patients with rickettsial infections than with other nonmalarial infections (adjusted odds ratio 3.7; p = 0.003). No participants were on a tetracycline antimicrobial drug at admission. rRNA RT-PCR is a promising diagnostic strategy for identifying acute rickettsial infections. Doxycycline should be included in empiric antimicrobial drug regimens for nonmalarial febrile illness in this region.

Indexed as

FeverHospitalizationRickettsiaRickettsia InfectionsAdolescentAdultAnti-Bacterial AgentsChildChild, PreschoolDoxycyclineFemaleHumansInfantMaleMiddle AgedReverse Transcriptase Polymerase Chain ReactionAnti-Bacterial AgentsDoxycyclinebacteriabacterial infectionsepidemiologymolecular diagnostic techniquesRickettsial infectionsrickettsiosessepsisspotted fever groupsub-Saharan Africatick-bornetyphus group rickettsiaUgandavector-borne infections

Identifiers

PMID40866958
PMCPMC12407214

What OpenQuestion holds

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Registered trials

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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.