Evidence map›Paper›PMID 27917305›Full record

ArticlePLoS currents2016

Laboratory Diagnosis for Outbreak-Prone Infectious Diseases after Typhoon Yolanda (Haiyan), Philippines.

Mariko Saito-Obata, Mayuko Saito, Titus C Tan, Inez Andrea P Medado, Clyde Dapat, Michiko Okamoto, Raita Tamaki, Rowena C Capistrano, Edelwisa Segubre-Mercado, Socorro P Lupisan and 1 more

Open access · greenAbstract read
In one paragraph

Article in PLoS currents, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  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

11 authors at 2 institutions in 2 countries.

Mariko Saito-ObataDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan; RITM-Tohoku Collaborating Research Center on Emerging and Re-emerging Infectious Diseases, Muntinlupa City, Philippines.
Mayuko SaitoDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Titus C TanRITM-Tohoku Collaborating Research Center on Emerging and Re-emerging Infectious Diseases, Muntinlupa City, Philippines; Research Institute for Tropical Medicine, Muntinlupa City, Philippines.
Inez Andrea P MedadoRITM-Tohoku Collaborating Research Center on Emerging and Re-emerging Infectious Diseases, Muntinlupa City, Philippines; Research Institute for Tropical Medicine, Muntinlupa City, Philippines.
Clyde DapatDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Michiko OkamotoDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Raita TamakiDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Tohoku, Japan; RITM-Tohoku Collaborating Research Center on Emerging and Re-emerging Infectious Diseases. Muntinlupa City, Philippines.
Rowena C CapistranoResearch Institute for Tropical Medicine, Muntinlupa City, Philippines.
Edelwisa Segubre-MercadoResearch Institute for Tropical Medicine, Molecular Biology Laboratory, Muntinlupa City, Philippines.
Socorro P LupisanResearch Institute for Tropical Medicine, Muntinlupa City, Philippines.
Hitoshi OshitaniDepartment of Virology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Research Institute for Tropical Medicine · PHTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTyphoon Yolanda (Haiyan) hit the central part of the Philippines on November 8, 2013. To identify possible outbreaks of communicable diseases after the typhoon, nasopharyngeal swabs, stool and blood samples were collected from patients who visited the Eastern Visayas Regional Medical Center due to acute respiratory infection (ARI), acute gastroenteritis (AGE) or other febrile illness (OFI) including suspected dengue fever, between November 28, 2013 and February 5, 2014.   Methods: Samples were tested on-site for selected pathogens using rapid diagnostic tests. Confirmation and further analysis were conducted at the Research Institute for Tropical Medicine (RITM) in Manila using polymerase chain reaction (PCR) and sequencing. Residues of the rapid diagnostic tests and samples collected in the filter papers (FTATM card) were transported to Manila under suboptimal conditions. PCR results were compared between the kit residues and the filter papers.   Results: A total of 185 samples were collected. Of these, 128 cases were ARI, 17 cases were AGE and 40 cases were OFI. For nasopharyngeal swab samples, detection rates for enterovirus and rhinovirus residues were higher than the filter papers. For stool samples, rotavirus positive rate for the filter paper was higher than the kit residues. We also managed to obtain the sequence data from some of the kit residues and filter papers.   Discussion: Our results confirmed the importance of PCR for the laboratory diagnosis of infectious diseases in post-disaster situations when  diagnostic options are limited.

Identifiers

PMID27917305
PMCPMC5104685
OpenAlexW2534895791

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.