Evidence map›Paper›PMID 38863743›Full record

ArticleFood & nutrition research2024

A standardized combination of

Durga Prasad Sadhupati, Rambhakta Lakshmisudha, Karthik Naidu Karjala Chakravarthy, Partha Sarathy Naidana

Abstract read
In one paragraph

Article in Food & nutrition research, 2024. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  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

4 authors.

Durga Prasad SadhupatiHelp Hospital, Governorpet, Vijayawada, Andhra Pradesh, India.
Rambhakta LakshmisudhaHelp Hospital, Governorpet, Vijayawada, Andhra Pradesh, India.
Karthik Naidu Karjala ChakravarthyLatha Super Speciality Hospital, Suryaraopet, Vijayawada, Andhra Pradesh, India.
Partha Sarathy NaidanaDepartment of Community Medicine, ASR Academy of Medical Sciences, Eluru, Andhra Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of botanical medicine has been demonstrated as a potential strategy to manage or treat a variety of health issues. Objective: This pilot study aimed to evaluate the immune function-enhancing potential of a unique blend of Methods: Forty healthy volunteers (age: 35-60 years) were randomized into two groups receiving either LN20189 (500 mg per day) or a matched placebo over 28 consecutive days. The total T-cell population was the primary efficacy measure in this study. The secondary efficacy measures included counts of CD4, CD8, natural killer (NK) cells, serum levels of interleukin-2 (IL-2), interferon-gamma (IFN-γ), total immunoglobulin-G (IgG), and Immune Function Questionnaire (IFQ) scores. Safety parameter assessments were also conducted. Results: Post-trial, in LN20189-supplemented subjects, T cells, CD4, NK cells count, and the CD4:CD8 ratio were increased by 9.32, 10.10, 19.91, and 17.43%, respectively, as compared to baseline. LN20189 supplementation increased serum IFN-γ and IgG levels by 14.57 and 27.09% from baseline and by 13.98 and 21.99%, compared to placebo, respectively. Also, the IFQ scores in the LN20189 group were 84.68% (vs. baseline) and 69.44% (vs. placebo) lower at the end of the trial. LN20189 improved the study volunteers' cellular and humoral immune functions. Conclusion: In summary, LN20189 supplementation was found tolerable and improved the key cellular and humoral factors of the immune system and helped improve immune function of the trial volunteers.

Indexed as

botanical supplement for immune functioncell-mediated immunityhumoral immunityrandomized clinical trialTerminalia chebulaWithania somnifera

Identifiers

PMID38863743
PMCPMC11165258

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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.