Evidence map›Paper›PMID 36238453›Full record

SynthesisFrontiers in nutrition2022

The effect of high-fructose corn syrup vs. sucrose on anthropometric and metabolic parameters: A systematic review and meta-analysis.

Xiang Li, Yunqi Luan, Yuejin Li, Shili Ye, Guihui Wang, Xinlun Cai, Yucai Liang, Hamed Kord Varkaneh, Yunpeng Luan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 4 institutions in 1 country.

Xiang LiThe First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, China.
Yunqi LuanBeijing Institute for Drug Control (Beijing Center for Vaccine Control), Beijing, China.
Yuejin LiThe General Surgery Department, The First People's Hospital of Yunnan Province, Kunming, China.
Shili YeFaculty of Mathematics and Physics, Southwest Forestry University, Kunming, China.
Guihui WangDepartment of Endocrinology, Kunming Municipal Hospital of Traditional Chinese Medicine, Kunming, China.
Xinlun CaiDepartment of Endocrinology, Kunming Municipal Hospital of Traditional Chinese Medicine, Kunming, China.
Yucai LiangLairui Biotechnology (Yunnan) Co., Ltd. Yunnan, China.
Hamed Kord VarkanehLairui Biotechnology (Yunnan) Co., Ltd. Yunnan, China.
Yunpeng LuanThe First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, China.
Southwest Forestry University · CNYunnan Yingmao Biotechnology (China) · CNKunming Municipal Hospital of Traditional Chinese Medicine · CNYunnan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-fructose corn syrup (HFCS) has been speculated to have stronger negative metabolic effects than sucrose. However, given the current equivocality in the field, the aim of the present study was to determine the impact of HFCS use compared to sucrose on anthropometric and metabolic parameters. We searched PubMed, Scopus, Cochrane Central and web of sciences, from database inception to May 2022. A random effects model and the generic inverse variance method were applied to assess the overall effect size. Heterogeneity analysis was performed using the Cochran Q test and the I

Indexed as

fructosehigh-fructose corn syrupmeta-analysissucroseweight

Identifiers

PMID36238453
PMCPMC9551185
OpenAlexW4297369802

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.