Evidence map›Paper›PMID 30514235›Full record

ArticleBMC infectious diseases2018

Molecular detection and clinical characteristics of Bartonella bacilliformis, Leptospira spp., and Rickettsia spp. in the Southeastern Peruvian Amazon basin.

Fiorella Ricapa-Antay, Katia Diaz-Melon, Wilmer Silva-Caso, Luis J Del Valle, Miguel Angel Aguilar-Luis, Fernando Vasquez-Achaya, Carlos Palomares-Reyes, Pablo Weilg, Dongmei Li, Carlos Manrique and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Pathogens (Basel, Switzerland) · 2024
    Article
  5. Molecular Characterization by Multilocus Sequence Typing and Diversity Analysis ofVector borne and zoonotic diseases (Larchmont, N.Y.) · 2022
    Article
  6. Article
  7. Article
  8. Article
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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

11 authors at 5 institutions in 3 countries.

Fiorella Ricapa-AntaySchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Katia Diaz-MelonSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Wilmer Silva-CasoSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Luis J Del ValleBarcelona Research Center for Multiscale Science and Engineering, Departament d'Enginyeria Química, EEBE, Universidad Politécnica de Catalunya (UPC), Barcelona Tech, Barcelona, Spain.
Miguel Angel Aguilar-LuisSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Fernando Vasquez-AchayaSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Carlos Palomares-ReyesSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Pablo WeilgSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.
Dongmei LiState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Carlos ManriqueDirección Regional de Salud Madre de Dios (DIRESA-Madre de Dios), Puerto Maldonado, Madre de Dios, Peru.
Juana Del Valle-MendozaSchool of Medicine. Faculty of Health Sciences. Research and Innovation Centre of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru. juana.delvalle@upc.pe.
Instituto de Investigación Nutricional · PEPeruvian University of Applied Sciences · PEAmazon National University of Madre de Dios · PENational Institute for Communicable Disease Control and Prevention · CNUniversitat Politècnica de Catalunya · ES

Funding

Cienciativa of CONCYTEC Peru N° 164-2016-FONDECYTCienciativa of CONCYTEC Peru N° 193-2015-FONDECYT
6 · The paper itself

Abstract

backgroundAcute febrile illness (AFI) represent a significant health challenge in the Peruvian Amazon basin population due to their diverse etiologies and the unavailability of specific on-site diagnostic methods, resulting in underreporting of cases. In Peru, one of the most endemic regions to dengue and leptospirosis is Madre de Dios, a region also endemic to emergent bacterial etiologic agents of AFI, such as bartonellosis and rickettsiosis, whose prevalence is usually underreported. We aimed to molecularly identify the presence of Leptospira spp., Bartonella bacilliformis, and Rickettsia spp. by Polymerase Chain Reaction in serum samples from patients with AFI from Puerto Maldonado-Madre de Dios in Peru.

methodsSerum samples from patients with acute febrile illness were analyzed by real-time PCR for detecting the presence of Bartonella bacilliformis, Leptospira spp. and Rickettsia spp.

resultsBartonella bacilliformis was the most prevalent bacteria identified in 21.6% (30/139) of the samples, followed by Leptospira spp. in 11.5% (16/139) and Rickettsia spp. in 6.5% (9/139) of the samples. No co-infections were observed between these bacteria. The most frequent symptoms associated with fever among all groups, were headaches, myalgias, and arthralgias. We found no statistically significant differences in the clinical presentation between patients infected with each bacterium.

conclusionsIn a previous study, we shown the presence of dengue, chikungunya, Zika and oropouche virus. We were able to identify these pathogens in 29.5% of all the samples, with chikungunya and OROV as the most frequently found in 9.4 and 8.6% of all the samples, respectively. In this study we show that B. bacilliformis (21.6%), Leptospira spp. (11.5%) and Rickettsia spp. (6.5%) accounted for the main etiologies of AFI in samples from Puerto Maldonado-Madre de Dios, Perú. Our analysis of their clinical presentation, further shows the importance of implementing more sensitive and specific on-site diagnostic tools in the national surveillance programs.This study confirms that the un-specificity of signs and symptoms is not only associated with arboviral infections, but also with the clinical presentation of endemic bacterial infections.

Indexed as

Bartonella InfectionsLeptospirosisRickettsia InfectionsAdolescentAdultAgedAged, 80 and overBartonella bacilliformisChildChild, PreschoolCoinfectionCross-Sectional StudiesFemaleFeverHumansInfantAcute febrile illnessBartonella bacilliformisLeptospiraPeruRickettsia

Identifiers

PMID30514235
PMCPMC6280516
OpenAlexW2902662233

What OpenQuestion holds

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LicenceCC BY
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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.