Evidence map›Paper›PMID 39308905›Full record

ArticleJournal of the Medical Library Association : JMLA2024

Usage and preservation of Mizo traditional medicine by the people of Chungtlang Village, Mamit District, Mizoram.

Esther Lalruatpuii, R K Ngurtinkhuma, Samuel Lalruatfela, K V Reddy

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Esther Lalruatpuiiesther20chhangte.ec@gmail.com Research Scholar, Department of Library and Information Science, Mizoram University, Aizawl.ORCID https://orcid.org/0000-0002-2054-4000
R K Ngurtinkhumarkngur15@gmail.com, Professor, Department of Library and Information Science, Mizoram University, Aizawl.ORCID https://orcid.org/0000-0002-6988-4532
Samuel Lalruatfelasamuruatfela94@gmail.com, Research Scholar, Department of Political Science, Mizoram University, Aizawl.ORCID https://orcid.org/0000-0002-1591-8813
K V Reddykvidyasagarr@gmail.com, Professor, Department of Political Science, Mizoram University, Aizawl.ORCID https://orcid.org/0000-0002-2441-6356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diversity, flexibility, easy accessibility, broad continuing acceptance in developing countries and increasing popularity in developed countries, relative low cost, low levels of technological input, relative low side effects, and growing economic importance are some of the positive features of traditional medicine. In rural India, traditional medicine continues to be the only available form of care. Many communities continue to treat patients using their old methods, unaffected by contemporary medical advancements. Due to their accessibility, affordability, and ease of use, tribal tribes prefer to utilize and consult their own traditional healers. These are likewise thought to be highly effective and without any adverse effects. This paper aims to identify various traditional medicines used for treating illness and infirmities, by taking accounts from the residents of Chungtlang village, Mamit District, Mizoram. The objective here lies in discovering traditional knowledge of medicinal plants and their uses for various infirmities.

Indexed as

Medicine, TraditionalAdultFemaleHumansIndiaMaleMiddle AgedPhytotherapyPlants, MedicinalRural PopulationdecoctioninfirmityknowledgemedicineMizoTraditional

Identifiers

PMID39308905
PMCPMC11412127

What OpenQuestion holds

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LicenceCC BY
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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.