Evidence map›Paper›PMID 32119803›Full record

Trial reportJournal of medicinal food2020

Biochemical, Anthropometric, and Physiological Responses to Carbohydrate-Restricted Diets Versus a Low-Fat Diet in Obese Adults: A Randomized Crossover Trial.

Mayumi Petrisko, Rebecca Kloss, Patricia Bradley, Erika Birrenkott, Audrey Spindler, Zachary S Clayton, Mark Kern

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medicinal food, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
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

7 authors at 1 institution in 1 country.

Mayumi PetriskoSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Rebecca KlossSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Patricia BradleySchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Erika BirrenkottSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Audrey SpindlerSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Zachary S ClaytonSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Mark KernSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
San Diego State University · US

Funding

TRAINING IN RENAL &ELECTROLYTE DISEASE &HYPERTENSIONT32DK007135 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JOHNSON, RICHARD JOSEPH, KENDRICK, JESSICA B · 1986 to 2024
$5.3M
NIDDK NIH HHS T32 DK007135
6 · The paper itself

Abstract

Some research supports high-fat carbohydrate (CHO)-restricted diets for weight and fat loss and improvement of cardiovascular disease risk factors. To test this, a randomized crossover study was designed. Subjects (17 obese men and women [BMI: 30-38 kg/m

Indexed as

AdultAnthropometryBody CompositionBody Mass IndexBody WeightCholesterol, HDLDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedEnergy IntakeFemaleHumansMaleMiddle AgedObesityTriglyceridesCholesterol, HDLTriglyceridesanimal proteincarbohydrate restrictionhigh fat dietlow fat dietmushroomsplant protein

Identifiers

PMID32119803
PMCPMC7207060
OpenAlexW3009799476

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.