Evidence map›Paper›PMID 31367198›Full record

ReviewJournal of chiropractic medicine2019

Complementary Medicine Therapies That May Assist With Weight Loss: A Narrative Review.

Brett R Martin

Abstract readReview
In one paragraph

Review in Journal of chiropractic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Acupuncture Can Play an Antidepressant Role by Regulating the Intestinal Microbes and Neurotransmitters in a Rat Model of Depression.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  10. 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

1 author at 1 institution in 1 country.

Brett R MartinBasic Science Department, National University of Health Sciences, Pinellas Park, Florida.
National University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to review the potential effects of traditional Chinese medicine-which includes acupuncture; electroacupuncture; plum blossom needle hammer; auricular acupuncture; herbs that balance hormones, regulate neurotransmitters, induce sedative effects, and increase thermogenesis; and functional foods that can suppress the appetite-as an adjunct therapy for weight loss.

methodsA narrative review of the current literature was performed using searches of MEDLINE and 4 scholarly texts. The inclusion criteria for the review consisted of studies that were performed from 2005 to 2016.

resultsIn general, some traditional Chinese medicine modalities claim to promote weight loss. Acupuncture, electroacupuncture, and herbs aim to reduce stress-related food cravings. These therapeutic approaches aim to downregulate dopamine and leptin levels, suppressing the appetite. Other attributes of these therapies are increasing uncoupling protein-1 activity promoting thermogenesis, which contributes to weight loss. In addition, acupuncture, electroacupuncture, and

conclusionThe literature reviewed includes information that describes how traditional Chinese medicine, herbal medicine, or functional foods as adjunct therapies may be beneficial for weight-loss programs.

Indexed as

Diet, ReducingWeight LossWeight Reduction Programs

Identifiers

PMID31367198
PMCPMC6656908
OpenAlexW2955955362

What OpenQuestion holds

Textmetadata
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.