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Record W2320012664 · doi:10.1097/qad.0000000000001057

Simplified HIV testing and treatment reduces mortality rate by over 60% in a trial in China

2016· letter· en· W2320012664 on OpenAlexaboutno aff
Kristin N. Harper

Bibliographic record

VenueAIDS · 2016
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntervention (counseling)ChinaAntiretroviral therapyMortality rateDiseaseHuman immunodeficiency virus (HIV)Antiretroviral treatmentDemographyFamily medicineViral loadInternal medicinePsychiatryHistory

Abstract

fetched live from OpenAlex

In a recent article in PLoS Medicine (2015; 12:e1001874), Zunyou Wu of the Chinese Center for Disease Control and Prevention and colleagues presented the results of an intervention to simplify HIV diagnosis and treatment in two Chinese counties. Wu explains that the study was motivated by the high number of patients in some areas who were being diagnosed at an advanced stage of disease and dying in the same year; the goal was to intervene in the months between diagnosis and death. In the target counties, patients who screened positive for HIV infection received rapid testing, and antiretroviral therapy (ART) was initiated immediately upon receiving a positive result, irrespective of CD4+ cell count. This reduced the average time from HIV confirmation to ART initiation from around 50 to 5 days and increased the percentage of patients who initiated ART from below 36% to above 90%. Most importantly, this intervention reduced mortality rates by 62%. Wu says the lesson to draw from this dramatic improvement is to ‘look at AIDS as a reality and pragmatically analyze how to provide simplified services for patients’. Brian Williams, of the Wits Reproductive Health and HIV Institute in South Africa, says that these results are ‘what I would have expected and hoped for, so I am not at all surprised. But I am delighted that they have managed to demonstrate the impact so directly’. He notes that these findings join those from other successful simplified/immediate treatment programmes in places such as Vancouver, British Columbia; San Francisco; and Uganda. Mirjam Kretzschmar of the UMC Utrecht Julius Center says that the takeaway from this research is ‘We don’t necessarily have to invent new interventions; we should make sure that the ones we have are set up in an effective way … If [patients] have to come back 3 or 4 times to draw blood before they even get a diagnosis, they will drop out. Also it is important to reduce time delays as much as possible. Every time delay will result in people losing interest and forgetting. These kinds of improvements are potentially very effective in improving the impact of ART in resource-limited countries’. As for the future of this simplified testing and treatment strategy in China, Wu explains that the model was expanded to another 12 high-priority counties in a second phase, where it reduced mortality by nearly 50%, and has been expanded to a total of 50 counties in a third phase. Currently, he and colleagues are considering scaling-up the model nationwide and are working on revising national treatment guidelines to advise initiating ART for all individuals diagnosed with HIV, regardless of CD4+ cell count. Acknowledgements Conflicts of interest There are no conflicts of interest.

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.

How this classification was reachedexpand

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.367
Teacher spread0.309 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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