Evidence mapPaperPMID 36046138Full record

SynthesisFrontiers in nutrition2022

Saturated fatty acid biomarkers and risk of cardiometabolic diseases: A meta-analysis of prospective studies.

Zhaoqing Li, Haoyuan Lei, Hong Jiang, Yahui Fan, Jia Shi, Chao Li, Fangyao Chen, Baibing Mi, Mao Ma, Jing Lin and 1 more

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 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
8.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Zhaoqing LiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Haoyuan LeiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Hong JiangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yahui FanSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jia ShiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Chao LiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Fangyao ChenSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Baibing MiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Mao MaThe First Affiliated Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jing LinSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Le MaSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Xi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Evidence regarding associations of circulating saturated fatty acids (SFAs) with chronic diseases is mixed. The objective of this study was to determine the associations between total or individual SFA biomarkers and the risk of cardiometabolic diseases. Methods: Four electronic databases were searched from inception to March 2022. Three investigators independently assessed for inclusion and extracted data. Random-effects or fixed-effects models was used to estimate the pooled relative risks (RRs) and corresponding 95% confidence intervals (CIs) for the association of total or individual SFA biomarkers, including even-chain SFAs (e.g., 14:0, myristic acid; 16:0, palmitic acid; 18:0, stearic acid), odd-chain SFAs (e.g., 15:0, pentadecanoic acid; 17:0, margaric acid) and very-long-chain SFAs (VLCSFAs; e.g., 20:0, arachidic acid; 22:0, behenic acid; 24:0, lignoceric acid), with risk of incident type 2 diabetes (T2D), cardiovascular disease [CVD; coronary heart disease (CHD) inclusive of stroke], CHD and stroke. Results: A total of 49 prospective studies reported in 45 articles were included. Higher concentration of circulating total SFAs was associated with an increasing risk of cardiometabolic diseases, the risk increased significantly by 50% for CVD (95%CI:1.31-1.71), 63% for CHD (95%CI:1.38-1.94), 38% for stroke (95%CI:1.05-1.82), respectively. Similarly, levels of even-chain SFAs were positively associated with higher risk of chronic diseases, with RRs ranging from 1.15 to 1.43. In contrast, the risk of cardiometabolic diseases was reduced with increasing odd-chain SFA levels, with RRs ranging from 0.62 to 0.91. A higher level of VLCSFAs corresponded to 19% reduction in CVD. Further dose-response analysis indicated that each 50% increment in percentage of total SFAs in circulating was associated with an 8% higher risk of T2D (RR: 1.08, 95%CI: 1.02-1.14) and trends toward higher risk of CVD (RR: 1.15, 95%CI: 0.98-1.34). Inverse linear relationships were observed between 17:0 biomarker and T2D or CVD risk. Conclusion: Our findings support the current recommendations of reducing intake of saturated fat as part of healthy dietary patterns. Further studies are needed to confirm our findings on these SFAs in relation to cardiometabolic outcomes and to elucidate underlying mechanisms. Systematic review registration: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022329182], identifier [CRD42022329182].

Indexed as

cardiometabolic diseasecardiovascular diseasecoronary heart diseasemeta-analysissaturated fatty acid biomarkerstroketype 2 diabetes

Identifiers

PMID36046138
PMCPMC9421298
OpenAlexW4291465444

What Socratic 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 Socratic graph.