Reference-table workshop: comparable quantities and missing context · RESEARCH-11716

Case 22 — Certificate of analysis: which claim does each measurement support?

Ask whether the sample identifier, issuing laboratory, report date and relevant analytical method can be verified. A copied certificate may be genuine as a document while its relationship to the sample remains unestablished.

Case 22 — Certificate of analysis: which claim does each measurement support?

A chromatographic peak-area figure and net material content answer different questions. Record the report’s own definition and units before comparing it with another percentage.

Case 22 — Certificate of analysis: which claim does each measurement support?

The index should list supplied evidence and missing evidence separately. Use method-specific wording rather than a blanket verified or safe label.

Case 22 — Certificate of analysis: which claim does each measurement support?

Even an authentic analytical report has scope limits. It is not by itself a demonstration of clinical efficacy, sterility or suitability for human use.

Case 22 — Certificate of analysis: which claim does each measurement support?

Proposed correction: documentation supplied; method and sample linkage incomplete. Add a dated update if verifiable primary material later resolves those gaps.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

Create separate columns for the quantity measured, method, units and denominator. Do not subtract the two percentages as though they represented a disagreement about the same measurement.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

A comparison table places chromatographic purity and net peptide content in one column. Both are percentages, but the reports define their denominators differently. How should the table be repaired?

Exercise RESEARCH-11716/23: address this question within its stated limits.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

Before comparing laboratories, ask whether sample handling, method conditions and reporting definitions are available. Missing details should be visible in the table.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

Use a comparison-status column: directly comparable, comparable with stated qualifications, or not established. Explain the reason for each label.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

Keep the original reported values beside any reformatted presentation. A conversion or interpretation needs a documented basis; it should not silently replace the source.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

An apparent difference can motivate a method question without proving that either laboratory is wrong. The appropriate next step is clarification from the reporting laboratory.

Case 23 — Two laboratories, two percentages: are they measuring the same thing?

The summary should say that different quantities were initially mixed and identify how the revised table separates them. No clinical conclusion follows from this bookkeeping correction.

Case 24 — Reading a preclinical paper: what belongs beside the abstract?

The draft summary of a fictional reading exercise moves from an animal-model observation to a proposed human benefit. Which fields would keep the literature note within the evidence?

Exercise RESEARCH-11716/24: address this question within its stated limits.

Case 24 — Reading a preclinical paper: what belongs beside the abstract?

Put the species or model, design, comparator and measured endpoint before the interpretation. The reader should be able to see what was observed without relying on the headline.

Case 24 — Reading a preclinical paper: what belongs beside the abstract?

Was the analysis prespecified or exploratory, and how was uncertainty reported? Record what the paper states and mark unreported fields instead of assuming good practice.