Evidence map›Paper›PMID 27006963›Full record

ArticleOpen forum infectious diseases2016

Rapid-Antigen Test Negative Malaria in a Traveler Returning From Thailand, Molecularly Diagnosed as Plasmodium knowlesi.

Maria S Mackroth, Dennis Tappe, Egbert Tannich, Marylyn Addo, Camilla Rothe

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Tropical medicine and infectious disease · 2023
    Review
  3. Review
  4. Article
  5. Retrospective clinical case series study in 2017 identifiesEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
    Article
  6. 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

5 authors at 2 institutions in 2 countries.

Maria S MackrothIst Department of Medicine, Section of Tropical Medicine , University Medical Centre Eppendorf.
Dennis TappeBernhard Nocht Institute for Tropical Medicine , Hamburg , Germany.
Egbert TannichBernhard Nocht Institute for Tropical Medicine , Hamburg , Germany.
Marylyn AddoIst Department of Medicine, Section of Tropical Medicine , University Medical Centre Eppendorf.
Camilla RotheIst Department of Medicine, Section of Tropical Medicine , University Medical Centre Eppendorf.
Eppendorf (Belgium) · BEBernhard Nocht Institute for Tropical Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmodium knowlesi has been identified in the last decade as a fifth species causing malaria in areas of South East Asia. Due to its short erythrocytic cycle, rapid development of high parasitemia and severe manifestations are frequently observed. Therefore, prompt diagnosis of infection is essential to prevent complications, but the low sensitivity of rapid diagnostic tests for P knowlesi pose a diagnostic challenge in acute settings. In this study, we report the case of a German traveler to Thailand, who was treated for P knowlesi malaria after returning to Germany. Rapid antigen test for malaria was negative on presentation. Diagnosis of a nonfalciparum malaria was made based on microscopy, and species definition was determined using polymerase chain reaction technique.

Indexed as

Plasmodium knowlesiThailandtravel medicine

Identifiers

PMID27006963
PMCPMC4800993
OpenAlexW2311608745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.