Evidence map›Paper›PMID 28931532›Full record

Trial reportThe American journal of clinical nutrition2017

Genetic variation of habitual coffee consumption and glycemic changes in response to weight-loss diet intervention: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial.

Liyuan Han, Wenjie Ma, Dianjianyi Sun, Yoriko Heianza, Tiange Wang, Yan Zheng, Tao Huang, Donghui Duan, J George A Bray, Catherine M Champagne and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

12 authors.

Liyuan HanDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Wenjie MaDepartments of Epidemiology and.
Dianjianyi SunDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Yoriko HeianzaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Tiange WangDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Yan ZhengNutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Tao HuangDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Donghui DuanDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
J George A BrayPennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and.
Catherine M ChampagnePennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and.
Frank M SacksDepartments of Epidemiology and.
Lu QiDepartments of Epidemiology and lqi1@tulane.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CoffeeDiet, ReducingPolymorphism, Single NucleotideAdultAgedBlood GlucoseBody Mass IndexCluster AnalysisDietary FatsDiet, Fat-RestrictedExerciseFemaleFollow-Up StudiesHumansInsulinInsulin ResistanceBlood GlucoseCoffeeDietary FatsInsulingene-diet interactiongenetic risk scoreglycemic traitshabitual coffee consumptionweight-loss diets

Identifiers

PMID28931532
PMCPMC5657286

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.