Evidence map›Paper›PMID 31805911›Full record

SynthesisBMC complementary and alternative medicine2019

Effects of fish oil supplement on psoriasis: a meta-analysis of randomized controlled trials.

Shih-Jyun Yang, Ching-Chi Chi

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC complementary and alternative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

2 authors at 2 institutions in 1 country.

Shih-Jyun YangDepartment of Dermatology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Ching-Chi ChiDepartment of Dermatology, Chang Gung Memorial Hospital, Linkou, 5, Fuxing St, Guishan Dist, Taoyuan, 33305, Taiwan. chingchi@cgmh.org.tw.ORCID http://orcid.org/0000-0001-5699-0283
Chang Gung Memorial Hospital · TWChang Gung University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFish oils, which contain omega-3 polyunsaturated fatty acids as the active ingredients, possess anti-inflammatory activities and may have therapeutic potential in diseases with an inflammatory etiology. Fish oil supplement has been advocated for treating psoriasis which is a chronic inflammatory dermatosis.

objectiveWe aimed to investigate the effects of fish oil supplement on psoriasis.

methodsWe searched CENTRAL, Embase and MEDLINE on 24 January 2018 for randomized control trials (RCTs) on the effects of fish oil supplement in treating psoriasis. The Cochrane Collaboration's tool was used to assess the risk of bias of included RCTs. We performed a random-effects model meta-analysis to obtain the pooled treatment effect estimates.

resultsWe included 13 RCTs with 625 participants. Three RCTs involving 337 participants provided usable data for meta-analysis. Fish oil supplement did not significantly reduce the severity of psoriasis when assessed by Psoriasis Area and Severity Index score (mean difference - 0.28; 95% confidence interval - 1.74 to 1.19).

conclusionThe current evidence does not support the use of fish oil supplement in treating psoriasis.

Indexed as

Dietary SupplementsFatty Acids, Omega-3Fish OilsHumansPsoriasisRandomized Controlled Trials as TopicFatty Acids, Omega-3Fish OilsFish oilMeta-analysisPolyunsaturated fatty acidsPsoriasisSystematic review

Identifiers

PMID31805911
PMCPMC6896351
OpenAlexW2808200822

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.