Evidence map›Paper›PMID 33053078›Full record

Trial reportRevista latino-americana de enfermagem2020

Effectiveness of ginger in reducing metabolic levels in people with diabetes: a randomized clinical trial.

Gerdane Celene Nunes Carvalho, José Claudio Garcia Lira-Neto, Márcio Flávio Moura de Araújo, Roberto Wagner Júnior Freire de Freitas, Maria Lúcia Zanetti, Marta Maria Coelho Damasceno

Open access · diamondAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Revista latino-americana de enfermagem, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
6.0field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The Search for Drugs Derived from Natural Products forCurrent topics in medicinal chemistry · 2024
    Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. A Comprehensive Review of the Effects ofPreventive nutrition and food science · 2025
    Review
  10. Review
  11. Review
  12. Observational
  13. Effects of Ginger (Biomolecules · 2024
    Review
  14. Article
  15. Research progress of ginger in the treatment of gastrointestinal tumors.World journal of gastrointestinal oncology · 2023
    Review
  16. Suppression of Inflamm-Aging byMolecules (Basel, Switzerland) · 2023
    Review
  17. Review
  18. Anxiety and Metabolic Disorders: The Role of Botanicals.Current issues in molecular biology · 2023
    Article
  19. Effect ofEvidence-based complementary and alternative medicine : eCAM · 2023
    Article
  20. Oral Administration Evaluation of the Hydro-Ethanolic Extract of Ginger (Rhizome ofEvidence-based complementary and alternative medicine : eCAM · 2023
    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

6 authors at 5 institutions in 1 country.

Gerdane Celene Nunes CarvalhoUniversidade Estadual do Piauí, Departamento de Enfermagem, Picos, PI, Brazil.ORCID http://orcid.org/0000-0001-9625-7617
José Claudio Garcia Lira-NetoUniversidade Federal do Ceará, Departamento de Enfermagem, Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0003-2777-1406
Márcio Flávio Moura de AraújoFundação Oswaldo Cruz, Saúde Pública, Eusébio, CE, Brazil.ORCID http://orcid.org/0000-0001-8832-8323
Roberto Wagner Júnior Freire de FreitasFundação Oswaldo Cruz, Saúde Pública, Eusébio, CE, Brazil.ORCID http://orcid.org/0000-0001-9295-1177
Maria Lúcia ZanettiUniversidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, PAHO/WHO Collaborating Centre for Nursing Research Development, Ribeirão Preto, SP, Brazil.ORCID http://orcid.org/0000-0003-1656-6626
Marta Maria Coelho DamascenoUniversidade Federal do Ceará, Departamento de Enfermagem, Fortaleza, CE, Brazil.ORCID http://orcid.org/0000-0003-4461-0145
Escola Nacional de Saúde Pública · BRCoordenação de Aperfeicoamento de Pessoal de Nível Superior · BRUniversidade de Ribeirão Preto · BRUniversidade Estadual do Piauí · BRUniversidade Federal do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto evaluate the effectiveness of ginge (Zingiber officinale) in reducing blood sugar and lipid levels in people with type 2 diabetes.

methoda randomized and double-blind clinical trial conducted with people with type 2 diabetes in primary care facilities. The study included individuals aged between 20 and 80 years old, using oral antidiabetic drugs and with HbA1c levels between 6.0% and 10%. The participants were paired 1:1, allocated in two distinct groups, and randomized in blocks, based on their HbA1c levels. In the experimental group, the participants used 1.2g of ginger and, in the control group, 1.2g of placebo, daily for 90 days. The primary outcome was a reduction in fasting blood sugar and HbA1c, and the secondary outcome was a reduction in lipids and HOMA-IR. 103 individuals completed the study, 47 in the experimental group and 56 in the control group.

resultsthe participants in the experimental group showed a greater reduction in the blood glucose and total cholesterol values compared to the control group.

conclusionthe use of ginger can help in the treatment of people with diabetes, and data support the inclusion of this herbal drug in the clinical practice of nurses. RBR-2rt2wy.

Indexed as

Diabetes Mellitus, Type 2Zingiber officinaleAdultAgedAged, 80 and overBlood GlucoseDouble-Blind MethodHumansHypoglycemic AgentsMiddle AgedYoung AdultBlood GlucoseHypoglycemic Agents

Identifiers

PMID33053078
PMCPMC7546607
OpenAlexW3092849809

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.