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Record W143734484 · doi:10.7812/tpp/06-144

On The Use of Rapid Diagnostic Test Kits for Malaria

2007· article· en· W143734484 on OpenAlex
David Witt

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Permanente Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalariaTest (biology)Intensive care medicineMedical physicsData scienceImmunologyComputer science

Abstract

fetched live from OpenAlex

Since I wrote in The Permanente Journal (TPJ) (Fall 2005) about post-tsunami malaria in Indonesia, there have been several requests from TPJ readers regarding access to and anticipated availability of rapid diagnostic test kits (RDTs) for malaria. It is with regret that I relate that there is no intent to market these in the United States. There are several reasons for this, some valid, some not. Worldwide, the use of RDTs is a vital part of the World Health Organization's program for malaria control, to preserve the use of newer, more expensive regimens for actual malaria cases. RDTs are certainly, at a minimum, grossly comparable to an experienced microscopist and confirmation by a reference laboratory can be readily arranged after a diagnosis is suspected. The Centers for Disease Control and Prevention (CDC) often opposes the use of these kits for diagnosis of malaria. In a conversation with the malaria officer on duty, my suggestion that they were of use was disparaged. Unfortunately, as is sometimes the case, an organization such as the CDC does not respond to the requirements of actually delivering care. When an organization has ready availability of world-class parasitologists, there is little need for RDTs. On the other hand, few of us practice in such an environment. Kain et al1 described an average delay of three days between the time of ordering a malaria smear and confirmation of the diagnosis in nonspecialist Canadian medical centers. In view of the rarity of malaria in this country, our best laboratory technicians are inexperienced in making this diagnosis and even experienced parasitologists can make errors in their reading of blood smears. Our average hospital laboratory is likely inferior in sensitivity to RDTs and probably in specificity as well, particularly if we consider only P falciparum, the only species that is rapidly fatal. One published small series2 from Bethesda Naval Hospital reviewed the diagnostic accuracy of these two modalities among Marines with febrile illness evacuated from Liberia. Ten of 32 cases were accurately identified by RDTs and the same ten by thick smear. One of 32 patients had a positive RDT and a thin smear that was originally read as negative, but confirmed subsequently to have been positive. In 2004, in the US there were only 1324 reported cases, 49% of these were P falciparum.3 This seems to be a strong argument that our local labs will not be able to enhance their expertise in this disease. This would be even more significant for smaller hospitals in areas with less foreign travel among their patients. Different RDTs have been studied in various studies in nonimmune returning travelers from malarious areas. The accuracy of various tests does vary, but later generation tests for P falciparum routinely demonstrate sensitivities greater than 90% (88–99%) and specificities that are 95–100%. The conclusion of the meta-analysis by Marx and colleagues4 is that “rapid testing will lead to the detection of most clinically relevant P falciparum cases, with considerably better accuracy than that expected from routine microscopy in nonspecialist settings.” The arguments against the test are: the accuracy is not perfect; it is heat sensitive and it does not monitor the level of parasitemia, nor confirm efficacy of treatment. I believe these are false arguments. RDTs are certainly, at a minimum, grossly comparable to an experienced microscopist and confirmation by a reference laboratory can be readily arranged after a diagnosis is suspected. Identifying and starting treatment is the most vital part of diagnosis. The monitoring progress, while vital, can be arranged once a diagnosis has been confirmed. The argument of heat sensitivity seems disingenuous in North America where laboratory reagents are controlled for quality and stored in nontropical conditions. This is an argument of questionable validity even in tropical areas. In summary, in the US we are stuck with less effective diagnostic capabilities for malaria, when compared to most Third World countries. This is not expected to change in the foreseeable future.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.305
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it