Evidence map›Paper›PMID 32724563›Full record

ArticleF1000Research2020

Notified dengue deaths in Myanmar (2017-18): profile and diagnosis delays.

Nwe Ni Linn, Khine Wut Yee Kyaw, Hemant Deepak Shewade, Aye Mon Mon Kyaw, Myat Min Tun, San Kyawt Khine, Nay Yi Yi Linn, Aung Thi, Zaw Lin

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Efficacy of householdHeliyon · 2023
    Article
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  7. Article
  8. 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

9 authors at 3 institutions in 4 countries.

Nwe Ni LinnVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.ORCID 0000-0001-8200-9153
Khine Wut Yee KyawDepartment of Operational Research, International Union Against Tuberculosis and Lung Disease (The Union), Mandalay, Myanmar.ORCID 0000-0003-0709-484X
Hemant Deepak ShewadeCenter for Operational Research, International Union Against Tuberculosis and Lung Disease (The Union), Paris, France.ORCID 0000-0002-8242-1911
Aye Mon Mon KyawVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Myat Min TunVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
San Kyawt KhineVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Nay Yi Yi LinnVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Aung ThiVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Zaw LinVector Borne Disease Control Programme, Department of Public Health, Ministry of Health and Sports, Nay Pyi Taw, Myanmar.
Ministry of Health and Sports · MMInternational Union Against Tuberculosis and Lung Disease · FRWorld Health Organization Regional Office for South-East Asia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Delayed DiagnosisDengueAdolescentAdultChildChild, PreschoolDisease NotificationFemaleFeverHospitalizationHumansInfantInfant, NewbornMaleMiddle AgedMyanmarDelay in diagnosisDengue feverMortalityOperational ResearchSevere dengueSORT IT

Identifiers

PMID32724563
PMCPMC7336047
OpenAlexW3035312069

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.