Evidence map›Paper›PMID 42238047›Full record

ArticleIranian journal of medical sciences2026

Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017-2024).

Farid Zand, Golnar Sabetian, Mohtaram Nematollahi, Hamideh Saeedizadeh, Soha Salimi, Amirmohammad Farrokhi, Mahsa Banifatemi, Fahime Aslami, Naeimehossadat Asmarian

Abstract readValidation Study
In one paragraph

Article in Iranian journal of medical sciences, 2026. 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

9 authors.

Farid ZandAnesthesiology and Critical Care Research Center, Department of Critical Care Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Golnar SabetianTrauma Research Center, Department of Critical Care Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohtaram NematollahiAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamideh SaeedizadehAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Soha SalimiTrauma Research Center, Rajaee Critical Care Medicine Department, Shahid Rajaee Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Amirmohammad FarrokhiTrauma Research Center, Rajaee Critical Care Medicine Department, Shahid Rajaee Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahsa BanifatemiAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Fahime AslamiAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Naeimehossadat AsmarianAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Iran intensive care unit registry (IICUR) was established to systematically collect highquality clinical data from critically ill adult patients nationwide. This registry was created to fill a major gap in Iran by providing the first coordinated national intensive care unit (ICU) data system to support benchmarking, quality improvement, and research. This study aimed to assess the registry's data quality, representativeness, and performance using internationally recognized evaluation frameworks. Methods: This validation study included consecutive adult ICU admissions (aged≥16 years) recorded in the IICUR between October 2017 and October 2024 across 39 ICUs in 16 hospitals from various regions of Iran. Data quality was assessed based on the directory of clinical databases (DoCDat) and Arts et al., frameworks. Evaluated domains included case representativeness, variable completeness, data validation processes, and coding reliability. Statistical analyses were performed using SPSS software (version 24). Results: Overall, 34,550 ICU admissions were registered (36% surgical, 64% medical). The patient's mean age was 49.4 years, with an average ICU stay of 6.7 days. The registry achieved a median DoCDat score of 3.0 (on a 1-4 scale), indicating strong national coverage, standardized data definitions, and high recruitment completeness. Trauma, neurological, and respiratory disorders were the most common admission causes. ICU and hospital mortality rates were 13.8% and 16.4%, respectively. Despite its strengths, enhanced data validation and postdischarge followup were required. Conclusion: The IICUR demonstrated high methodological standards, providing a robust national platform for benchmarking, policy development, and critical care research in Iran.

Indexed as

Intensive Care UnitsRegistriesAdultCritical IllnessFemaleHumansIranMaleMiddle AgedBenchmarkingCritical careDatabaseIranMortality

Identifiers

PMID42238047
PMCPMC13226859

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.