Evidence map›Paper›PMID 26224883›Full record

ReviewClinical microbiology reviews2015

Advances in the Diagnosis of Human Schistosomiasis.

Kosala G A D Weerakoon, Geoffrey N Gobert, Pengfei Cai, Donald P McManus

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 8 pooled it
–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

177 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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117 more citing papers are in PubMed but not listed here.

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.

Kosala G A D WeerakoonQIMR Berghofer Medical Research Institute, Brisbane, Australia School of Public Health, University of Queensland, Brisbane, Australia Department of Parasitology, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka.
Geoffrey N GobertQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Pengfei CaiQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Donald P McManusQIMR Berghofer Medical Research Institute, Brisbane, Australia Don.McManus@qimrberghofer.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schistosomiasis is a major neglected tropical disease that afflicts more than 240 million people, including many children and young adults, in the tropics and subtropics. The disease is characterized by chronic infections with significant residual morbidity and is of considerable public health importance, with substantial socioeconomic impacts on impoverished communities. Morbidity reduction and eventual elimination through integrated intervention measures are the focuses of current schistosomiasis control programs. Precise diagnosis of schistosome infections, in both mammalian and snail intermediate hosts, will play a pivotal role in achieving these goals. Nevertheless, despite extensive efforts over several decades, the search for sensitive and specific diagnostics for schistosomiasis is ongoing. Here we review the area, paying attention to earlier approaches but emphasizing recent developments in the search for new diagnostics for schistosomiasis with practical applications in the research laboratory, the clinic, and the field. Careful and rigorous validation of these assays and their cost-effectiveness will be needed, however, prior to their adoption in support of policy decisions for national public health programs aimed at the control and elimination of schistosomiasis.

Indexed as

AnimalsHealth PolicyHumansPublic HealthSchistosomiasisSnailsTropical Medicine

Identifiers

PMID26224883
PMCPMC4548261

What OpenQuestion holds

Textmetadata
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.