Evidence map›Paper›PMID 40883716›Full record

ReviewBMC medical informatics and decision making2025

New ICD-11 features for coding late sequelae and chronic post-procedural conditions.

Danielle A Southern, Bastien Boussat, Marie-Annick Le Pogam, William A Ghali

Abstract readReview
In one paragraph

Review in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Danielle A SouthernCentre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. dasouthe@ucalgary.ca.ORCID 0000-0002-0006-0033
Bastien BoussatClinical Epidemiology Unit, Grenoble Alps University Hospital, Grenoble, France.
Marie-Annick Le PogamDepartment of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
William A GhaliOffice of Vice President of Research & O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.

Funding

Agency for Healthcare Research and Quality (AHRQ) Agency for Healthcare Research and Quality (AHRQ)Canadian Institute for Health Information (CIHI) Foundation Canadian Institute for Health Information (CIHI) Foundation
6 · The paper itself

Abstract

There are many clinical circumstances in life where people live with chronic conditions (or states) that arose from either (1) a prior clinical diagnosis (e.g. a stroke) or (2) a prior healthcare-related event or medical procedure. Unfortunately, capturing such concepts is not straightforward in coded health data. This paper describes the coding rubric for sequelae (also often referred to as 'late effects') in the new ICD-11 coding system and some clinical coding examples. Earlier versions of ICD were constrained, in all but a few exceptions, by the need to combine all aspects of a clinical scenario into a single code. ICD-11 permits the clustering (postcoordination) of multiple codes to describe multifaceted clinical scenarios. This article features both precoordinated (single code) and postcoordinated (multi-code) descriptions of late effect situations where a prior health problem is the remote cause of current symptoms or conditions - i.e. sequelae. The late effect of a prior health problem rubric is yet another example of enhanced ICD-11 features that will improve future health information systems.

Indexed as

Clinical CodingInternational Classification of DiseasesChronic DiseaseHumansInternational classification of diseasesLate effectPost-proceduralSequelae

Identifiers

PMID40883716
PMCPMC12398000

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.