Rules first, then searches, then a verdict on every full text: the PU555 Unit 3 literature search log for the kidney awareness question records all three in order. Searches like "pu 555 unit 3 assignment example", "pu555 unit 3 sample" and "pu555 unit 3 example" land here.
What a finished PU555 Unit 3 literature search log looks like
Four parts fill roughly three pages. Eligibility rules come first, written before any screening: studies of adults, published from [2000] onward, that measured kidney function by laboratory test and asked participants separately whether they had been told. A search table follows, one row per run, with date, source, string, filters and records returned. PubMed combines awareness, knowledge and self-report terms with the subject heading for chronic renal insufficiency; Scopus repeats the concepts in its own field syntax. The decision ledger is the longest part. Each full-text article gets a line: included, or excluded with the rule it failed, such as awareness inferred from diagnosis codes. Gray literature rows record CDC's kidney disease surveillance pages and the USRDS annual data report, and the final [14] studies are listed.
How a PU555 Unit 3 example is structured
Reproducibility shapes the log, but its emphasis falls on judgment rather than keystrokes. Rules precede results so that no reader can suspect the criteria were bent to fit what turned up. Search rows are kept brief and complete; the ledger, by contrast, gets room, because the unit's criteria reward the reasoning behind each exclusion. One rule accounts for most exclusions: studies that counted people as aware because a diagnosis appeared in their record, which measures documentation, not knowledge. The log explains that rule once and afterward cites it by number. Gray literature has its own rows, since agency reports carry national figures many journal articles quote secondhand. Citation chasing is logged as rounds, each with the count it added. A closing note names the gap the search exposed: almost no study asked what words patients remember hearing.
Rules written before screening
Adults, laboratory-measured kidney function and a separate awareness question form the eligibility core, numbered so that later exclusions can cite them.
Rows kept lean
Date, source, string, filters and records returned appear for every run in PubMed and Scopus, including one abandoned run and the reason it was dropped.
A ledger line per full text
Each article read in full receives a verdict and, when excluded, the number of the rule it failed, so the final [14] can be audited.
Documentation is not knowledge
Studies that inferred awareness from a coded diagnosis are excluded under one rule, explained once, since a chart entry says nothing about what a patient heard.
When citation chasing stops
Backward and forward rounds from one key paper are counted, and the search closes when a round yields no new eligible study.
Where marks go in PU555 Unit 3
Transparency, coverage and defensible inclusion decisions carry most of the credit on a PU555 search log. The largest loss tends to come from a log that lists what was found and omits what was rejected, leaving a grader unable to tell a thorough search from a convenient one. Next is eligibility invented after the fact, visible when rules appear only beside the studies they admit. Coverage marks usually require more than one database, and many sections expect gray literature wherever agencies publish the key numbers. Exclusion reasons written as not relevant earn almost nothing; reasons tied to a numbered rule earn the row. Date limits and other filters applied without a stated reason count against a log. A missing stopping rule makes the search look unfinished, however long it ran.
Get a PU555 Unit 3 example written to your instructions
Your Unit 2 research question anchors the search log, so it travels with the list of databases your library licenses and the Unit 3 rubric. Eligibility rules, search rows and a decision for every full text come back within 24-48h. There is no charge for a first custom sample.
PU555 Unit 3 questions, answered
Does gray literature belong in a search log?
Often, and in public health especially. Agency reports, surveillance summaries and registry publications hold figures that journal articles cite secondhand. The example logs two such sources, CDC's kidney disease surveillance pages and the USRDS annual data report, with the date each was accessed. Where a section limits the log to peer-reviewed databases, those rows can move to a note.
What is citation chasing, and should it be logged?
It means following the reference list of a key paper backward, and the papers that later cited it forward. It finds studies that keyword searches miss, particularly older ones. Logging it in rounds, with the number each round added, lets a reader see when it stopped paying off. The sample stops after a round that adds no new eligible study.
Why search Scopus as well as PubMed?
Scopus indexes journals beyond the biomedical core, including social science and health services titles where awareness studies sometimes appear. Running the same concepts in both shows that coverage was tested rather than assumed. Each database has its own syntax, so the log records both strings. Sections that name other databases, such as Web of Science, can substitute them without changing the logic.