Evidence map›Paper›PMID 36852307›Full record

ArticlePreventive medicine reports2023

A campaign of mass drug administration with artemisinin-piperaquine to antimalaria in Trobriand Islands.

Guoming Li, Shaoqin Zheng, Zhenyan Zhang, Yanshan Hu, Nansong Lin, Nadia Julie, Lei Shu, Liwei Sun, Hongying Zhang, Yueming Yuan and 8 more

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

18 authors at 1 institution in 1 country.

Guoming LiArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Shaoqin ZhengArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Zhenyan ZhangInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Yanshan HuArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Nansong LinInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Nadia JulieArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Lei ShuInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Liwei SunInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Hongying ZhangArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Yueming YuanArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Yuan LiangInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Zhengjie YuInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Wei XieInstitute of Science and Technology Park, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Ridley MwaisigaMilne Bay Provincial Health Authority, Alotau, Milne Bay Province, Papua New Guinea.
Jacob MorewayaMilne Bay Provincial Health Authority, Alotau, Milne Bay Province, Papua New Guinea.
Qin XuArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Jianping SongArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Changsheng DengArtemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a study on the Trobriand Islands of Papua New Guinea (PNG) in 2018 to verify the safety and efficacy of the artemisinin-piperaquine (AP) mass drug administration (MDA) campaign in regions with moderate to high mixed malaria transmission. Based on the natural topography of the Trobriand Islands, 44,855 residents from 92 villages on the islands were enrolled and divided into the main and outer islands. Three rounds of MDA were conducted using grid-based management. The primary endpoint was the coverage rate. Adverse reactions, parasitemia, and malaria morbidity were the secondary endpoints. There were 36,716 people living in 75 villages on the main island, and the MDA coverage rate was 92.58-95.68%. Furthermore, 8,139 people living in 17 villages on the outer islands had a coverage rate of 94.93-96.11%. The adverse reactions were mild in both groups, and parasitemia decreased by 87.2% after one year of surveillance. The average annual malaria morbidity has decreased by 89.3% after the program for four years. High compliance and mild adverse reactions indicated that the MDA campaign with AP was safe. The short-term effect is relatively ideal, but the evidence for long-term effect evaluation is insufficient.

Indexed as

Artemisinin-piperaquineCoverageGrid-based managementIslandsMass drug administrationMixed malaria

Identifiers

PMID36852307
PMCPMC9958052
OpenAlexW4321071973

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.