Loading…
Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study
Dietary recommendations and policies should be guided by rigorous systematic reviews. Reviews that are of poor methodological quality may be ineffective or misleading. Most of the evidence in nutrition comes from nonrandomized studies of nutritional exposures (usually referred to as nutritional epid...
Saved in:
Published in: | The American journal of clinical nutrition 2021-06, Vol.113 (6), p.1578-1592 |
---|---|
Main Authors: | , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873 |
---|---|
cites | cdi_FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873 |
container_end_page | 1592 |
container_issue | 6 |
container_start_page | 1578 |
container_title | The American journal of clinical nutrition |
container_volume | 113 |
creator | Zeraatkar, Dena Bhasin, Arrti Morassut, Rita E Churchill, Isabella Gupta, Arnav Lawson, Daeria O Miroshnychenko, Anna Sirotich, Emily Aryal, Komal Mikhail, David Khan, Tauseef A Ha, Vanessa Sievenpiper, John L Hanna, Steven E Beyene, Joseph de Souza, Russell J |
description | Dietary recommendations and policies should be guided by rigorous systematic reviews. Reviews that are of poor methodological quality may be ineffective or misleading. Most of the evidence in nutrition comes from nonrandomized studies of nutritional exposures (usually referred to as nutritional epidemiology studies), but to date methodological evaluations of the quality of systematic reviews of such studies have been sparse and inconsistent.
We aimed to investigate the quality of recently published systematic reviews and meta-analyses of nutritional epidemiology studies and to propose guidance addressing major limitations.
We searched MEDLINE (January 2018–August 2019), EMBASE (January 2018–August 2019), and the Cochrane Database of Systematic Reviews (January 2018–February 2019) for systematic reviews of nutritional epidemiology studies. We included a random sample of 150 reviews.
Most reviews were published by authors from Asia (n = 49; 32.7%) or Europe (n = 43; 28.7%) and investigated foods or beverages (n = 60; 40.0%) and cancer morbidity and mortality (n = 54; 36%). Reviews often had important limitations: less than one-quarter (n = 30; 20.0%) reported preregistration of a protocol and almost one-third (n = 42; 28.0%) did not report a replicable search strategy. Suboptimal practices and errors in the synthesis of results were common: one-quarter of meta-analyses (n = 30; 26.1%) selected the meta-analytic model based on statistical indicators of heterogeneity and almost half of meta-analyses (n = 50; 43.5%) did not consider dose–response associations even when it was appropriate to do so. Only 16 (10.7%) reviews used an established system to evaluate the certainty of evidence.
Systematic reviews of nutritional epidemiology studies often have serious limitations. Authors can improve future reviews by involving statisticians, methodologists, and researchers with substantive knowledge in the specific area of nutrition being studied and using a rigorous and transparent system to evaluate the certainty of evidence. |
doi_str_mv | 10.1093/ajcn/nqab002 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8243916</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ajcn/nqab002</oup_id><els_id>S0002916522007353</els_id><sourcerecordid>2543837424</sourcerecordid><originalsourceid>FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873</originalsourceid><addsrcrecordid>eNqFkU2r1DAUhoMo3nF051oKLnRhvfnqtL0LQQa_4IIbXYfT5PTeDG0zk6Qj_QP-blNbLyqCqyTnPHmT97yEPGX0NaO1uISDHi6HEzSU8ntkw2pR5YLT8j7Z0FTKa7YrLsijEA6UMi6r3UNyIUQpKRX1hnzf34IHHdHbEK0OGQwmO43Q2Thlrs3CFCL2kFqZx7PFbwvRY4QcBuimgGHmXBPQnxPnUjEbxujtusejNdhb17mb6SqDTHsXQh5Qr_0QRzM9Jg9a6AI-Wdct-fr-3Zf9x_z684dP-7fXuZY1i3nLJFSMc15oXlaNablIVikAr0UtSgQqjC6EbBuOWFNdlUwbKIvS1Eamk9iSN4vucWx6NBqH6KFTR2978JNyYNWfncHeqht3VhWXIk0yCbxcBbw7jRii6m3Q2HUwoBuD4gUVUu4qMb_1_C_04EafLM-UFAmRSXRLXi3Uz7l4bO8-w6iaA1ZzwGoNOOHPfjdwB_9KNAEvFsCNx_9J7RYS08BTtF4FbXHQaKxP6Sjj7L8v_gCCKMeQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2543837424</pqid></control><display><type>article</type><title>Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study</title><source>Elsevier ScienceDirect Journals</source><creator>Zeraatkar, Dena ; Bhasin, Arrti ; Morassut, Rita E ; Churchill, Isabella ; Gupta, Arnav ; Lawson, Daeria O ; Miroshnychenko, Anna ; Sirotich, Emily ; Aryal, Komal ; Mikhail, David ; Khan, Tauseef A ; Ha, Vanessa ; Sievenpiper, John L ; Hanna, Steven E ; Beyene, Joseph ; de Souza, Russell J</creator><creatorcontrib>Zeraatkar, Dena ; Bhasin, Arrti ; Morassut, Rita E ; Churchill, Isabella ; Gupta, Arnav ; Lawson, Daeria O ; Miroshnychenko, Anna ; Sirotich, Emily ; Aryal, Komal ; Mikhail, David ; Khan, Tauseef A ; Ha, Vanessa ; Sievenpiper, John L ; Hanna, Steven E ; Beyene, Joseph ; de Souza, Russell J</creatorcontrib><description>Dietary recommendations and policies should be guided by rigorous systematic reviews. Reviews that are of poor methodological quality may be ineffective or misleading. Most of the evidence in nutrition comes from nonrandomized studies of nutritional exposures (usually referred to as nutritional epidemiology studies), but to date methodological evaluations of the quality of systematic reviews of such studies have been sparse and inconsistent.
We aimed to investigate the quality of recently published systematic reviews and meta-analyses of nutritional epidemiology studies and to propose guidance addressing major limitations.
We searched MEDLINE (January 2018–August 2019), EMBASE (January 2018–August 2019), and the Cochrane Database of Systematic Reviews (January 2018–February 2019) for systematic reviews of nutritional epidemiology studies. We included a random sample of 150 reviews.
Most reviews were published by authors from Asia (n = 49; 32.7%) or Europe (n = 43; 28.7%) and investigated foods or beverages (n = 60; 40.0%) and cancer morbidity and mortality (n = 54; 36%). Reviews often had important limitations: less than one-quarter (n = 30; 20.0%) reported preregistration of a protocol and almost one-third (n = 42; 28.0%) did not report a replicable search strategy. Suboptimal practices and errors in the synthesis of results were common: one-quarter of meta-analyses (n = 30; 26.1%) selected the meta-analytic model based on statistical indicators of heterogeneity and almost half of meta-analyses (n = 50; 43.5%) did not consider dose–response associations even when it was appropriate to do so. Only 16 (10.7%) reviews used an established system to evaluate the certainty of evidence.
Systematic reviews of nutritional epidemiology studies often have serious limitations. Authors can improve future reviews by involving statisticians, methodologists, and researchers with substantive knowledge in the specific area of nutrition being studied and using a rigorous and transparent system to evaluate the certainty of evidence.</description><identifier>ISSN: 0002-9165</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.1093/ajcn/nqab002</identifier><identifier>PMID: 33740039</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Beverages ; credibility ; Cross-Sectional Studies ; Diet ; Editor's Choice ; Epidemiology ; Heterogeneity ; Humans ; Literature reviews ; Mathematical models ; Meta-analysis ; Meta-Analysis as Topic ; Morbidity ; Nutrition ; nutritional epidemiology ; Original Research Communications ; quality ; Research Design - standards ; Reviews ; risk of bias ; Systematic review ; systematic reviews ; Systematic Reviews as Topic - standards</subject><ispartof>The American journal of clinical nutrition, 2021-06, Vol.113 (6), p.1578-1592</ispartof><rights>2021 American Society for Nutrition.</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.</rights><rights>Copyright American Society for Clinical Nutrition, Inc. Jun 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873</citedby><cites>FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0002916522007353$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3549,27924,27925,45780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33740039$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zeraatkar, Dena</creatorcontrib><creatorcontrib>Bhasin, Arrti</creatorcontrib><creatorcontrib>Morassut, Rita E</creatorcontrib><creatorcontrib>Churchill, Isabella</creatorcontrib><creatorcontrib>Gupta, Arnav</creatorcontrib><creatorcontrib>Lawson, Daeria O</creatorcontrib><creatorcontrib>Miroshnychenko, Anna</creatorcontrib><creatorcontrib>Sirotich, Emily</creatorcontrib><creatorcontrib>Aryal, Komal</creatorcontrib><creatorcontrib>Mikhail, David</creatorcontrib><creatorcontrib>Khan, Tauseef A</creatorcontrib><creatorcontrib>Ha, Vanessa</creatorcontrib><creatorcontrib>Sievenpiper, John L</creatorcontrib><creatorcontrib>Hanna, Steven E</creatorcontrib><creatorcontrib>Beyene, Joseph</creatorcontrib><creatorcontrib>de Souza, Russell J</creatorcontrib><title>Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study</title><title>The American journal of clinical nutrition</title><addtitle>Am J Clin Nutr</addtitle><description>Dietary recommendations and policies should be guided by rigorous systematic reviews. Reviews that are of poor methodological quality may be ineffective or misleading. Most of the evidence in nutrition comes from nonrandomized studies of nutritional exposures (usually referred to as nutritional epidemiology studies), but to date methodological evaluations of the quality of systematic reviews of such studies have been sparse and inconsistent.
We aimed to investigate the quality of recently published systematic reviews and meta-analyses of nutritional epidemiology studies and to propose guidance addressing major limitations.
We searched MEDLINE (January 2018–August 2019), EMBASE (January 2018–August 2019), and the Cochrane Database of Systematic Reviews (January 2018–February 2019) for systematic reviews of nutritional epidemiology studies. We included a random sample of 150 reviews.
Most reviews were published by authors from Asia (n = 49; 32.7%) or Europe (n = 43; 28.7%) and investigated foods or beverages (n = 60; 40.0%) and cancer morbidity and mortality (n = 54; 36%). Reviews often had important limitations: less than one-quarter (n = 30; 20.0%) reported preregistration of a protocol and almost one-third (n = 42; 28.0%) did not report a replicable search strategy. Suboptimal practices and errors in the synthesis of results were common: one-quarter of meta-analyses (n = 30; 26.1%) selected the meta-analytic model based on statistical indicators of heterogeneity and almost half of meta-analyses (n = 50; 43.5%) did not consider dose–response associations even when it was appropriate to do so. Only 16 (10.7%) reviews used an established system to evaluate the certainty of evidence.
Systematic reviews of nutritional epidemiology studies often have serious limitations. Authors can improve future reviews by involving statisticians, methodologists, and researchers with substantive knowledge in the specific area of nutrition being studied and using a rigorous and transparent system to evaluate the certainty of evidence.</description><subject>Beverages</subject><subject>credibility</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Editor's Choice</subject><subject>Epidemiology</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Literature reviews</subject><subject>Mathematical models</subject><subject>Meta-analysis</subject><subject>Meta-Analysis as Topic</subject><subject>Morbidity</subject><subject>Nutrition</subject><subject>nutritional epidemiology</subject><subject>Original Research Communications</subject><subject>quality</subject><subject>Research Design - standards</subject><subject>Reviews</subject><subject>risk of bias</subject><subject>Systematic review</subject><subject>systematic reviews</subject><subject>Systematic Reviews as Topic - standards</subject><issn>0002-9165</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkU2r1DAUhoMo3nF051oKLnRhvfnqtL0LQQa_4IIbXYfT5PTeDG0zk6Qj_QP-blNbLyqCqyTnPHmT97yEPGX0NaO1uISDHi6HEzSU8ntkw2pR5YLT8j7Z0FTKa7YrLsijEA6UMi6r3UNyIUQpKRX1hnzf34IHHdHbEK0OGQwmO43Q2Thlrs3CFCL2kFqZx7PFbwvRY4QcBuimgGHmXBPQnxPnUjEbxujtusejNdhb17mb6SqDTHsXQh5Qr_0QRzM9Jg9a6AI-Wdct-fr-3Zf9x_z684dP-7fXuZY1i3nLJFSMc15oXlaNablIVikAr0UtSgQqjC6EbBuOWFNdlUwbKIvS1Eamk9iSN4vucWx6NBqH6KFTR2978JNyYNWfncHeqht3VhWXIk0yCbxcBbw7jRii6m3Q2HUwoBuD4gUVUu4qMb_1_C_04EafLM-UFAmRSXRLXi3Uz7l4bO8-w6iaA1ZzwGoNOOHPfjdwB_9KNAEvFsCNx_9J7RYS08BTtF4FbXHQaKxP6Sjj7L8v_gCCKMeQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Zeraatkar, Dena</creator><creator>Bhasin, Arrti</creator><creator>Morassut, Rita E</creator><creator>Churchill, Isabella</creator><creator>Gupta, Arnav</creator><creator>Lawson, Daeria O</creator><creator>Miroshnychenko, Anna</creator><creator>Sirotich, Emily</creator><creator>Aryal, Komal</creator><creator>Mikhail, David</creator><creator>Khan, Tauseef A</creator><creator>Ha, Vanessa</creator><creator>Sievenpiper, John L</creator><creator>Hanna, Steven E</creator><creator>Beyene, Joseph</creator><creator>de Souza, Russell J</creator><general>Elsevier Inc</general><general>Oxford University Press</general><general>American Society for Clinical Nutrition, Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T7</scope><scope>7TS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210601</creationdate><title>Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study</title><author>Zeraatkar, Dena ; Bhasin, Arrti ; Morassut, Rita E ; Churchill, Isabella ; Gupta, Arnav ; Lawson, Daeria O ; Miroshnychenko, Anna ; Sirotich, Emily ; Aryal, Komal ; Mikhail, David ; Khan, Tauseef A ; Ha, Vanessa ; Sievenpiper, John L ; Hanna, Steven E ; Beyene, Joseph ; de Souza, Russell J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Beverages</topic><topic>credibility</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Editor's Choice</topic><topic>Epidemiology</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Literature reviews</topic><topic>Mathematical models</topic><topic>Meta-analysis</topic><topic>Meta-Analysis as Topic</topic><topic>Morbidity</topic><topic>Nutrition</topic><topic>nutritional epidemiology</topic><topic>Original Research Communications</topic><topic>quality</topic><topic>Research Design - standards</topic><topic>Reviews</topic><topic>risk of bias</topic><topic>Systematic review</topic><topic>systematic reviews</topic><topic>Systematic Reviews as Topic - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeraatkar, Dena</creatorcontrib><creatorcontrib>Bhasin, Arrti</creatorcontrib><creatorcontrib>Morassut, Rita E</creatorcontrib><creatorcontrib>Churchill, Isabella</creatorcontrib><creatorcontrib>Gupta, Arnav</creatorcontrib><creatorcontrib>Lawson, Daeria O</creatorcontrib><creatorcontrib>Miroshnychenko, Anna</creatorcontrib><creatorcontrib>Sirotich, Emily</creatorcontrib><creatorcontrib>Aryal, Komal</creatorcontrib><creatorcontrib>Mikhail, David</creatorcontrib><creatorcontrib>Khan, Tauseef A</creatorcontrib><creatorcontrib>Ha, Vanessa</creatorcontrib><creatorcontrib>Sievenpiper, John L</creatorcontrib><creatorcontrib>Hanna, Steven E</creatorcontrib><creatorcontrib>Beyene, Joseph</creatorcontrib><creatorcontrib>de Souza, Russell J</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeraatkar, Dena</au><au>Bhasin, Arrti</au><au>Morassut, Rita E</au><au>Churchill, Isabella</au><au>Gupta, Arnav</au><au>Lawson, Daeria O</au><au>Miroshnychenko, Anna</au><au>Sirotich, Emily</au><au>Aryal, Komal</au><au>Mikhail, David</au><au>Khan, Tauseef A</au><au>Ha, Vanessa</au><au>Sievenpiper, John L</au><au>Hanna, Steven E</au><au>Beyene, Joseph</au><au>de Souza, Russell J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>113</volume><issue>6</issue><spage>1578</spage><epage>1592</epage><pages>1578-1592</pages><issn>0002-9165</issn><eissn>1938-3207</eissn><abstract>Dietary recommendations and policies should be guided by rigorous systematic reviews. Reviews that are of poor methodological quality may be ineffective or misleading. Most of the evidence in nutrition comes from nonrandomized studies of nutritional exposures (usually referred to as nutritional epidemiology studies), but to date methodological evaluations of the quality of systematic reviews of such studies have been sparse and inconsistent.
We aimed to investigate the quality of recently published systematic reviews and meta-analyses of nutritional epidemiology studies and to propose guidance addressing major limitations.
We searched MEDLINE (January 2018–August 2019), EMBASE (January 2018–August 2019), and the Cochrane Database of Systematic Reviews (January 2018–February 2019) for systematic reviews of nutritional epidemiology studies. We included a random sample of 150 reviews.
Most reviews were published by authors from Asia (n = 49; 32.7%) or Europe (n = 43; 28.7%) and investigated foods or beverages (n = 60; 40.0%) and cancer morbidity and mortality (n = 54; 36%). Reviews often had important limitations: less than one-quarter (n = 30; 20.0%) reported preregistration of a protocol and almost one-third (n = 42; 28.0%) did not report a replicable search strategy. Suboptimal practices and errors in the synthesis of results were common: one-quarter of meta-analyses (n = 30; 26.1%) selected the meta-analytic model based on statistical indicators of heterogeneity and almost half of meta-analyses (n = 50; 43.5%) did not consider dose–response associations even when it was appropriate to do so. Only 16 (10.7%) reviews used an established system to evaluate the certainty of evidence.
Systematic reviews of nutritional epidemiology studies often have serious limitations. Authors can improve future reviews by involving statisticians, methodologists, and researchers with substantive knowledge in the specific area of nutrition being studied and using a rigorous and transparent system to evaluate the certainty of evidence.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33740039</pmid><doi>10.1093/ajcn/nqab002</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0002-9165 |
ispartof | The American journal of clinical nutrition, 2021-06, Vol.113 (6), p.1578-1592 |
issn | 0002-9165 1938-3207 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8243916 |
source | Elsevier ScienceDirect Journals |
subjects | Beverages credibility Cross-Sectional Studies Diet Editor's Choice Epidemiology Heterogeneity Humans Literature reviews Mathematical models Meta-analysis Meta-Analysis as Topic Morbidity Nutrition nutritional epidemiology Original Research Communications quality Research Design - standards Reviews risk of bias Systematic review systematic reviews Systematic Reviews as Topic - standards |
title | Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T20%3A48%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characteristics%20and%20quality%20of%20systematic%20reviews%20and%20meta-analyses%20of%20observational%20nutritional%20epidemiology:%20a%20cross-sectional%20study&rft.jtitle=The%20American%20journal%20of%20clinical%20nutrition&rft.au=Zeraatkar,%20Dena&rft.date=2021-06-01&rft.volume=113&rft.issue=6&rft.spage=1578&rft.epage=1592&rft.pages=1578-1592&rft.issn=0002-9165&rft.eissn=1938-3207&rft_id=info:doi/10.1093/ajcn/nqab002&rft_dat=%3Cproquest_pubme%3E2543837424%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c491t-f14a812225c278bdf233200aa293937ea03dc534fb2ee90c871cda757d9d4c873%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2543837424&rft_id=info:pmid/33740039&rft_oup_id=10.1093/ajcn/nqab002&rfr_iscdi=true |