- Before
- Rewrites the CSR synopsis sentence by sentence, then checks every number against the tables by hand.
- Now
- Starts from ten drafted sections with every fact cited, and spends her time on the three sentences that need her.
One lay summary, from study report to signed
VLT-302 is a Phase 3 trial of Veltrimab in adults with moderate to severe plaque psoriasis. Its final study report arrived on October 2; its EU posting deadline is January 14, 2027. Here is what happens next, screen by screen, in the working solution.
- 01Oct 7
Every summary, placed at its deadline
Lena Ortiz · Medical writerLena opens the solution to a posting runway: each summary is a bead at its EU posting deadline, with the 6-month deadlines for trials in children marked. 10 summaries are open, 3 are due in 60 days, none was late this year, and the average reading grade is 7.4. Five covers on her desk need her — VLT-302 among them, with 3 sentences waiting.
Agents at work: “Fact checker · VLT-302 · 29 statements checked against the study report · 3 need Lena.”
- 0208:05
Ten sections drafted, every fact cited
Study report reader · Annex V drafterEarly that morning the study report reader went through the synopsis and 14 results tables, and the Annex V drafter wrote all ten required sections as the questions a reader would ask — “Who took part in this study?”, “What medical problems did people have?”. Each factual sentence carries a numbered citation. The checklist on the left shows three sections flagged; the first flag is study-report jargon: “treatment-emergent adverse events” becomes “at least one medical problem”, with the line that not every problem was caused by the medicine.
“Drafted by agents · 29 statements cited · 3 flagged for you · grade 8.9”
- 03Fact check
A number that rounds the wrong way
Fact checkerThe draft says about 7 out of 10 people on Veltrimab had almost clear skin after 16 weeks. The fact checker compares it with the report: 277 of 428 people, 64.7 %. Rounding to 7 out of 10 overstates the result by 5 points, so it proposes “about 65 out of 100” — the same number the picture of 100 dots in that section shows.
The fact checker cannot change the text. It proposes a fix; Lena accepts, edits or dismisses it.
- 04One click
The study report, open at the passage
Lena Ortiz · Medical writer“Open at this passage” takes Lena to the VLT-302 study report, Table 11.4, primary endpoint, page 52 of 1,284 — with the words the sentence relies on highlighted: PASI 90 at Week 16, veltrimab 277/428 (64.7 %), placebo 10/214 (4.7 %).
- 05Tone check
Balanced words in the comments section
Plain-language and tone checkerThe draft’s “What do the results mean?” section says Veltrimab “worked very well and is a safe treatment for psoriasis”. The tone checker flags it as promotional: claims beyond this trial. It proposes a neutral line and shows the house-style rule from Good Lay Summary Practice it rests on.
Proposed: “In this study, more people who got Veltrimab had clearer skin than people who got the placebo. This is the result of one study. Other studies may find different results.”
- 06Three accepts
Plain enough, measured
Lena Ortiz · Medical writerLena accepts the three fixes. The reading grade drops from 8.9 to 7.1 — inside the team’s limit of grade 8, about the level of a popular newspaper. Reading ease is 68, the average sentence 14.7 words against a target of under 15, every number is written as “x out of 100”, and 23 plain-word swaps came from the shared glossary.
- 07Reader test
Would a participant understand it?
Reader testReadability scores miss what people misunderstand, so the reader test answers eight key questions from the summary alone, then compares the answers with the study report. On the first draft it got three wrong — it read the main result as 7 out of 10, could not explain “treatment-emergent adverse events”, and took “a safe treatment” to mean one study proves safety. After the fixes: 8 of 8.
The reader test has no access to the study report while it answers.
- 08Ready
The author signs
Lena Ortiz · Medical writerUntil every flag was resolved, the button read “3 to resolve before signing”. Now it opens the signature: 29 of 29 statements match the study report, reading grade 7.1, reader test 8 of 8. Lena signs with her password, and the meaning is recorded with it.
“I am the author and confirm every fact matches the final study report”
- 09Signed
Patient panel next, then medical, legal and translation
Priya Raman · Patient engagement leadVLT-302 moves to patient read-through. The sign-off chain shows who is next: Priya Raman’s panel reads it, Dr. Maya Chen signs medical accuracy, Dana Okafor the non-promotional check, Sam Patel approves the translations and Omar Haddad the posting package. Translations into eight languages follow from the signed English, and every accept and signature is on the audit trail.
- 10Every month
Posting on time, clear and correct
Omar Haddad · Disclosure leadThe dashboard answers the disclosure team’s two questions: are we posting on time, and are the summaries clear and correct? In the last six months, 9 of 9 summaries were posted on time, with a median of 236 days from end of trial to posting against a limit of 365. The fact check caught 61 flags, and a person decided every one.