Group every FDA 483 observation by failure category. Equipment, cleaning, laboratory, data integrity, stability, aseptic, environmental, CAPA. Live warehouse, 19,669 observations indexed.
The FDA 483 corpus indexes 19,669 observations across the catalog. The dominant failure mode is equipment and facilities (2,604 observations), followed by cleaning and cross-contamination (1,624) and laboratory controls (1,080). The data-integrity cluster carries 894 observations and is the fastest-growing category by warning-letter escalation rate. The taxonomy below is generated from observation-text classification; each cited category is hyperlinked to its plant-level ranking.
| # | Failure category | Scope | Observations | Recent trend | Escalation rate |
|---|---|---|---|---|---|
| 1 | Equipment and facilities | 21 CFR 211.42-67 | 2604 observations | flat | VAI |
| 2 | Cleaning and cross-contamination | 21 CFR 211.67 | 1624 observations | rising | VAI |
| 3 | Laboratory controls | 21 CFR 211.160-194 | 1080 observations | flat | VAI |
| 4 | Data integrity and records | 21 CFR 211.68 | 894 observations | rising | OAI |
| 5 | Stability program | 21 CFR 211.166 | 773 observations | flat | VAI |
| 6 | Training and personnel | 21 CFR 211.25 | 686 observations | flat | VAI |
| 7 | Validation | 21 CFR 211.110 | 390 observations | rising | VAI |
| 8 | Aseptic operations | 21 CFR 211.113 | 377 observations | flat | OAI |
| 9 | Environmental monitoring | 21 CFR 211.42 | 259 observations | flat | VAI |
| 10 | CAPA effectiveness | 21 CFR 211.192 | 50 observations | rising | OAI |
Country, regulator, trailing window, FDA programme. Default is the full FDA 483 corpus.
Observation text classified into eight dominant failure categories with a residual long-tail. Each category counts plants, observations, and escalation rate.
Citation-anchored category report with the top-cited plants per category, the recent-trend chip, and the warning-letter escalation rate.
The taxonomy is the source signal. A data-integrity cluster across multiple plants warrants a different qualification protocol than scattered equipment observations at one plant.
Empirical rate at which a category co-occurs with an OAI close or a subsequent warning letter. Data integrity and CAPA effectiveness lead the escalation table.
Top-cited plants per category surface in a sortable view. Useful for the audit-program lead deciding where the next on-site visit goes.
Rising, flat, or improving across the last 24 months. The data-integrity category has been rising in absolute count and in OAI co-occurrence.
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pharmagraph_query Approximate observation counts per failure category · live warehouse · 19,669 observations indexed.
The 483 pattern analysis is the failure-mode lens on the inspection corpus. PharmaDB classifies every observation by 21 CFR section, groups into eight dominant failure categories, and overlays escalation rates. The view is inspection_observations joined to inspections and compliance_events. Refresh cadence is weekly.
Observation text is mapped to 21 CFR sections by a deterministic classifier and verified against the FDA's own taxonomy. The eight categories above cover roughly 90% of the corpus; the residual 10% is a long tail of niche-section citations preserved verbatim.
Empirical rate at which a category co-occurs with an OAI close at the same plant or precedes a warning letter within 18 months. Data integrity and CAPA effectiveness lead; equipment trails.
The headline is the FDA 483 corpus. EMA inspection observations, EDQM CEP findings, and MHRA outcomes are tracked separately and joinable for a multi-regulator pattern view.
Observations are extracted from the FDA 483 publication feed, which is pulled weekly. New observations attach to their parent inspection cycle as the FDA publishes; the catalog row carries the publication and observation-issue dates.
Yes. Country, regulator, FDA programme, and individual plant filters are all available. Useful for an audit program lead scoping the next on-site visit to a specific category cluster.
Data integrity. The category is rising in absolute count, has the highest OAI co-occurrence, and predicts subsequent warning-letter escalation more strongly than any other bucket. A plant carrying repeated data-integrity observations warrants additional CAPA evidence at qualification.
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