Making Your Research Findable: Writing a great abstract

mdarml 1,754 views 28 slides Feb 28, 2014
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research medical library Writing a Great Abstract Amy Sisson Information Services Librarian Research Medical Library [email protected] Clara Fowler Manager, Information Services Research Medical Library [email protected] Presented by:

What abstracts are A summary of the article’s content A time-saving shortcut for readers and researchers A “table of contents” for the most important parts of your manuscript Occasionally, they are the only publication of particular information (i.e. conference proceeding abstracts not published elsewhere)

Why are abstracts important? Most databases do not offer the ability to search the articles’ full text Article abstracts are where most keyword searches are matched If an abstract is not well-written, researchers may not be able to find it, because most searchers do not use subject headings to search “BMJ editors now begin screening original research by reading only the abstract. Our estimate is that an initial decision is made on the abstract alone in 15-25% of papers. … All too often abstracts are poorly written, incomplete, misleading, and plain wrong.” Groves, T. and K. Abbasi (2004). "Screening research papers by reading abstracts." BMJ 329 (7464): 470-471.

Types of abstracts Unstructured & structured Journal will indicate in the author’s instructions which type they require JAMA : Include a structured abstract of no more than 350 words for reports of original data, reviews, and meta-analyses. For other major manuscripts, include an unstructured abstract of no more than 200 words that summarizes the objective, main points, and conclusions of the article. http://jama.jamanetwork.com/public/instructionsForAuthors.aspx#Abstracts

research medical library Unstructured Abstract

research medical library Structured Abstract

Example of a structured abstract for JAMA

research medical library Key element 1 (background): the point of the research – why should we care about the study? Key element 2 (objectives): the specific research question – the basis of credible science. Key element 3 (methods): a description of the methods used to collect data and determine the relationships between the variables. Key element 4 (results): the major findings – not only data , but the RELATIONSHIPS found that lead to the answer . These are historical facts and, therefore, reported in past tense. Key element 5 (conclusions): the answers to the research questions – the authors’ INTERPRETATION of the factual findings . An answer to a research question is in the present tense. KEY ELEMENTS OF ABSTRACTS http:// www.ease.org.uk/sites/default/files/ease_guidelines-june2013-abstracts.pdf

Deficient Abstracts Inconsistency = data given differently in abstract and the body of the article Omission = data reported in abstract but not in the body of the article Random sample of articles and abstracts from 6 major medical journals ( Annals of Internal Medicine, BMJ, JAMA, Lancet, NEJM, and CMAJ ) compared for accuracy. Found proportion of deficient abstracts per journal varied widely (18%-68%).

60 articles selected from 6 clinical journals (American Journal of Emergency Medicine, BMJ, JAMA, Lancet, NEJM, and Obstetrics and Gynaecology ) Data inaccuracy found in 32 abstracts (53.33% of the articles) Results sections showed the most number of discrepancies in structured abstracts

research medical library In 2006, Arthur Amman, President of Global Strategies for HIV Prevention, made a disquieting remark: “I recently met a physician from southern Africa, engaged in perinatal HIV prevention, whose primary access to information was abstracts posted on the internet. Based on a single abstract, they had altered their perinatal HIV prevention program from an effective therapy to one with lesser efficacy . Had they read the full text article they would have undoubtedly realized that the study results were based on short-term follow-up, a small pivotal group , incomplete data, and unlikely to be applicable to their country situation. Their decision to alter treatment based solely on the abstract’s conclusions may have resulted in increased perinatal HIV transmission.” 1 The PLoS Medicine Editors. The impact of open access upon public health . PLoS Med 2006: 3: e252.

CONSORT for ABSTRACTS CONSORT, Consolidated Standards of Reporting Trials, developed to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). This is the minimum list of essential items to include in a journal or conference abstract when reporting the main results of a randomized trial www.thelancet.com Published online January 22, 2008 DOI:10.1016/S0140-6736(07)61835-2

ABSTRACTS: Writing Tips Explain Abbreviations

ABSTRACTS: Writing Tips 2. Synonyms for title keywords in abstract

ABSTRACTS: Writing Tips 3. Refrain from citing references in the abstract

Why are author keywords important? In February 2013, PubMed began displaying searchable author keywords when supplied by journal publishers Author keywords provide an opportunity to include descriptive words/phrases in addition to the abstract = more “points of entry” Depending on the searcher, an author keyword may be the only point of entry for that searcher to find the article

Choosing your author keywords Look for similar articles to see what author keywords they use Avoid general or simplistic words ( molecule, lasers, energy ) Choose specific words and phrases that other researchers in your field are likely to use when searching for your topic ( hippocampal, cell death, bioturbation ) Choose words and phrases that you did not have room for in your abstract http ://www.springer.com/authors/journal+authors/journal+authors+academy?SGWID=0-1726414-12-837806-0 )

ACTIVITY #1 Am J Epidemiol . 2013 Aug 15;178(4):521-33. doi : 10.1093/ aje /kws589. Epub 2013 Jul 17 . Prospective study of ultraviolet radiation exposure and mortality risk in the United States. Lin SW 1 , Wheeler DC , Park Y , Spriggs M , Hollenbeck AR , Freedman DM , Abnet CC . Abstract Geographic variations in mortality rate in the United States could be due to several hypothesized factors, one of which is exposure to solar ultraviolet radiation (UVR). Limited evidence from previous prospective studies has been inconclusive. The association between ambient residential UVR exposure and total and cause-specific mortality risks in a regionally diverse cohort (346,615 white, non-Hispanic subjects, 50-71 years of age, in the National Institutes of Health (NIH)-AARP Diet and Health Study) was assessed, with accounting for individual-level confounders. UVR exposure (averaged for 1978-1993 and 1996-2005) from NASA's Total Ozone Mapping Spectrometer was linked to the US Census Bureau 2000 census tract of participants' baseline residence. Multivariate-adjusted Cox proportional-hazards models were used to estimate hazard ratios and 95% confidence intervals. Over 12 years, UVR exposure was associated with total deaths (n = 41,425; hazard ratio for highest vs. lowest quartiles (HRQ4 vs. Q1) = 1.06, 95% confidence interval (CI): 1.03, 1.09; Ptrend < 0.001) and with deaths (all Ptrend < 0.05) due to cancer (HRQ4 vs. Q1 = 1.06, 95% CI: 1.02, 1.11), cardiovascular disease (HRQ4 vs. Q1 = 1.06, 95% CI: 1.00, 1.12), respiratory disease (HRQ4 vs. Q1 = 1.37, 95% CI: 1.21, 1.55), and stroke (HRQ4 vs. Q1 = 1.16, 95% CI: 1.01, 1.33) but not with deaths due to injury, diabetes, or infectious disease. These results suggest that UVR exposure might not be beneficial for longevity . Identify author keywords for this article

PubMed Uses Automatic Term Mapping Terms entered into the search box are matched (in this order): subjects using the MeSH (Medical Subject Headings) translation table, journals using the Journals translation table authors and investigators, using the Full Author translation table, Author index, Full Investigator translation table and Investigator index. If a match is found in any translation table, the mapping stops. If no match is found in any tables, terms are searched in All Fields and ANDed together.

Automatic Term Mapping in PubMed EXAMPLES: Ear infection = "otitis"[MeSH Terms] OR "otitis"[All Fields] OR ("ear"[All Fields] AND "infection"[All Fields]) OR "ear infection"[All Fields] Metastatic lung cancer = ("secondary"[Subheading] OR "secondary"[All Fields] OR "metastatic"[All Fields]) AND ("lung neoplasms"[MeSH Terms] OR ("lung"[All Fields] AND "neoplasms"[All Fields]) OR "lung neoplasms"[All Fields] OR ("lung"[All Fields] AND "cancer"[All Fields]) OR "lung cancer"[All Fields])

ABSTRACTS: Writing Tips 4 . Run a sample search for your article in PubMed and see how it is searched. Search: pomegranate and blood pressure Query searched in PubMed: (" punicaceae "[MeSH Terms] OR " punicaceae "[All Fields] OR "pomegranate"[All Fields]) AND ("blood pressure"[MeSH Terms] OR ("blood"[All Fields] AND "pressure"[All Fields]) OR "blood pressure"[All Fields] OR "blood pressure determination"[MeSH Terms] OR ("blood"[All Fields] AND "pressure"[All Fields] AND "determination"[All Fields]) OR "blood pressure determination"[All Fields] OR ("blood"[All Fields] AND "pressure"[All Fields]) OR "blood pressure"[All Fields] OR "arterial pressure"[MeSH Terms] OR ("arterial"[All Fields] AND "pressure"[All Fields]) OR "arterial pressure"[All Fields] OR ("blood"[All Fields] AND "pressure"[All Fields])

PubMed: Phrase Index via Advanced Search Use PubMed’s Advanced Search feature to “test” a phrase you’re considering as an author keyword; if it does not get results, it may not be the best choice

Previously indexed articles Look up a similar article and check its MeSH (Medical Subject Heading) terms to see how it was indexed Follow the trail by right-clicking on a MeSH term and viewing it in the MeSH database

ACTIVITY #2 Am J Epidemiol . 2013 Aug 15;178(4):521-33. doi : 10.1093/ aje /kws589. Epub 2013 Jul 17 . Prospective study of ultraviolet radiation exposure and mortality risk in the United States. Lin SW 1 , Wheeler DC , Park Y , Spriggs M , Hollenbeck AR , Freedman DM , Abnet CC . Abstract Geographic variations in mortality rate in the United States could be due to several hypothesized factors, one of which is exposure to solar ultraviolet radiation (UVR). Limited evidence from previous prospective studies has been inconclusive. The association between ambient residential UVR exposure and total and cause-specific mortality risks in a regionally diverse cohort (346,615 white, non-Hispanic subjects, 50-71 years of age, in the National Institutes of Health (NIH)-AARP Diet and Health Study) was assessed, with accounting for individual-level confounders. UVR exposure (averaged for 1978-1993 and 1996-2005) from NASA's Total Ozone Mapping Spectrometer was linked to the US Census Bureau 2000 census tract of participants' baseline residence. Multivariate-adjusted Cox proportional-hazards models were used to estimate hazard ratios and 95% confidence intervals. Over 12 years, UVR exposure was associated with total deaths (n = 41,425; hazard ratio for highest vs. lowest quartiles (HRQ4 vs. Q1) = 1.06, 95% confidence interval (CI): 1.03, 1.09; Ptrend < 0.001) and with deaths (all Ptrend < 0.05) due to cancer (HRQ4 vs. Q1 = 1.06, 95% CI: 1.02, 1.11), cardiovascular disease (HRQ4 vs. Q1 = 1.06, 95% CI: 1.00, 1.12), respiratory disease (HRQ4 vs. Q1 = 1.37, 95% CI: 1.21, 1.55), and stroke (HRQ4 vs. Q1 = 1.16, 95% CI: 1.01, 1.33) but not with deaths due to injury, diabetes, or infectious disease. These results suggest that UVR exposure might not be beneficial for longevity . Identify MeSH terms for this article

Am J Epidemiol . 2013 Aug 15;178(4):521-33. doi : 10.1093/ aje /kws589. Epub 2013 Jul 17. Prospective study of ultraviolet radiation exposure and mortality risk in the United States. Lin SW 1 , Wheeler DC , Park Y , Spriggs M , Hollenbeck AR , Freedman DM , Abnet CC . MeSH Terms Aged Cardiovascular Diseases/ mortality * Cause of Death Female Health Behavior Humans Male Middle Aged Neoplasms/ mortality * Nutrition Surveys/statistics & numerical data Ozone Proportional Hazards Models Prospective Studies Respiratory Tract Diseases/ mortality * Risk Assessment Spatial Analysis Stroke/ mortality * Sunlight/adverse effects* Ultraviolet Rays /adverse effects* United States /epidemiology AUTHOR KEYWORDS : epidemiology, mortality, prospective, sunlight, ultraviolet radiation, vitamin D

research medical library Conclusions Read Instructions for Authors for guidance on format, length, and content Explain abbreviations to improve searchability Use synonyms in the text of your abstract to create multiple options for other researchers to find your work Do not cite other work in your abstract unless required by the editor Search PubMed to find similar articles to your research to see how they were indexed (MeSH terms) and what author keywords were selected If you need assistance with selecting keywords, schedule a consultation with a librarian ( [email protected] )