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Full-text screening is the second pass of study selection. Studies that passed abstract screening are now reviewed against the full PDF — methods, results, supplementary information — so you can make a final inclusion or exclusion decision based on the complete article rather than the abstract alone.
Fulltext screening typically excludes another 50–80% of studies that passed abstract screening. The most common reasons are intervention details that didn't match the protocol, study designs that weren't clear from the abstract, and outcomes that turned out not to be reported in extractable form.
When abstract screening completes, the assistant transitions into the Fulltext phase and the Full-text screening tab unlocks in the screening drawer. The tab opens to a list of every study that was included or marked uncertain at the abstract stage.
Scholara automatically attempts to fetch open-access PDFs for each study. Studies whose PDFs couldn't be retrieved appear under the Flagged filter in the toolbar — those are the ones you'll need to upload manually or exclude.
The fastest way to add missing PDFs is bulk upload. Open the bulk-upload modal from the toolbar and drop in a folder of PDFs — Scholara matches each file to the corresponding study and queues unmatched files for manual assignment.
If you cannot retrieve a PDF for a study and don't intend to chase it, the toolbar's "Exclude flagged PDFs" action lets you exclude all studies under the Flagged filter in one click. The exclusions are recorded with a "PDF not available" reason that flows through to your PRISMA flow diagram.
Supported format is PDF only. Files must be text-based — scanned PDFs need OCR before upload, otherwise the AI cannot read the article body.
Click any study row to open the paper review sheet — a full-screen view with the PDF on the left and the AI's assessment on the right. From this sheet you can review the AI decision, see exactly which criteria it relied on, override it, and add notes.
The right panel shows everything the AI used to make its decision:
Click the Override button at the top of the assessment panel and pick the new decision — Include, Exclude, or Uncertain — from the dropdown. The decision banner switches to a "Human Override" badge and the change is recorded immediately.
As with abstract screening, the override is also passed back to the chat as screening context on your next message — so the assistant knows about your decision when it answers questions about the study or runs subsequent steps.
You can also override from the chat directly. Ask the assistant something like "exclude Smith 2021 — the study didn't randomise allocation despite calling itself an RCT" and it will apply the override and update the table.
Mark the study as Include if it meets every inclusion criterion, doesn't meet any exclusion criterion, reports the outcomes you care about, and provides extractable data. The eligibility criteria assessment in the side panel makes this easy to verify — if every criterion is satisfied, the study is includable.
Mark the study as Exclude if it fails any inclusion criterion, meets any exclusion criterion, or has fatal methodological flaws. The AI's reasoning records which criterion was the primary cause, which then populates your PRISMA diagram. If you override an inclusion to an exclusion, write a sentence in the notes panel — that's what reviewers and readers will see in your final flow diagram.
Mark the study as Uncertain when there's missing or ambiguous information you need to resolve before making a final call — for example, awaiting clarification from a corresponding author, needing a translation, or wanting to discuss the case with a co-reviewer. Uncertain decisions stay flagged so you can come back to them.
When fulltext screening completes, the assistant transitions into the Analysis phase. From there you'll be able to extract structured data, generate characteristics tables and outcome plots, run meta-analyses, and produce the final PRISMA flow diagram — all from the same chat.
Excluding 50–80% of studies at full text is normal and expected. The first round of abstract screening is intentionally liberal; the full-text round is where you tighten.