Evidence map›Paper›PMID 34457155›Full record

ReviewAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Challenges to Global Standardization of Outcome Measures.

Zoe Liao, Yuri Quintana

Open access · greenAbstract readReview
In one paragraph

Review in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. REPCAN: Guideline for REporting Population-based CANcer Registry Data.Asian Pacific journal of cancer prevention : APJCP · 2023
    Guideline
  3. Article
  4. Article
  5. Article
  6. Article
  7. Outcomes and outcome measures in studies of pulmonary alveolar proteinosis: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  8. Review
  9. Application and Challenges of Using ProbioticDiseases (Basel, Switzerland) · 2025
    Review
  10. Review
  11. Article
  12. Review
  13. Review
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

2 authors at 2 institutions in 1 country.

Zoe LiaoSchool of Pharmacy, Northeastern University, Boston, MA, USA.
Yuri QuintanaDivision of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Beth Israel Deaconess Medical Center · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global standardization of outcome measures for disease states can help researchers and healthcare providers compare healthcare institutions' and populations' health outcomes. Despite the creation of standardized outcome sets, clinical institutions' adoption of these sets is not common. A literature review shows that among the challenges to standardizing outcome measures include the difficulties of achieving consensus in the working groups creating these outcome sets, the tradeoffs made when selecting outcome measurement tools, and the high costs of implementing a new or different set of outcome measures. The duplication of effort to create these standard sets can also limit standardization, which could be minimized through increased transparency of how these standard sets are developed. We propose some approaches to improve how to create and implement standard sets to broaden their usability across institutions.

Indexed as

Delivery of Health CareOutcome Assessment, Health CareConsensusHumansReference Standards

Identifiers

PMID34457155
PMCPMC8378612
OpenAlexW3208027738

What OpenQuestion holds

Textmetadata
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.