Evidence map›Paper›PMID 28890920›Full record

ArticleCognitive research: principles and implications2017

How did I miss that? Developing mixed hybrid visual search as a 'model system' for incidental finding errors in radiology.

Jeremy M Wolfe, Abla Alaoui Soce, Hayden M Schill

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Mixed hybrid visual foraging is near optimal.Attention, perception & psychophysics · 2025
    Article
  2. Categorically distinct subsets allow flexible memory selection in hybrid search.Journal of experimental psychology. Learning, memory, and cognition · 2024
    Article
  3. Errors in visual search: Are they stochastic or deterministic?Cognitive research: principles and implications · 2024
    Article
  4. Article
  5. Normal blindness: when we Look But Fail To See.Trends in cognitive sciences · 2022
    Review
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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

3 authors.

Jeremy M WolfeOphthalmology and Radiology Departments, Harvard Medical School, 64 Sidney St. Suite 170, Cambridge, MA 02139 USA.
Abla Alaoui SoceVisual Attention Lab, Brigham and Women's Hospital, 64 Sidney St. Suite 170, Cambridge, MA 02139 USA.
Hayden M SchillVisual Attention Lab, Brigham and Women's Hospital, 64 Sidney St. Suite 170, Cambridge, MA 02139 USA.

Funding

Prevalence effects in visual search: Theoretical and practical implicationsR01EY017001 · NEI · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeremy M Wolfe · 2007 to 2026
$8.2M
Improving Perception in Digital Breast TomographyR01CA207490 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI WOLFE, JEREMY M · 2016 to 2025
$4.6M
NCI NIH HHS R01 CA207490NEI NIH HHS R01 EY017001
6 · The paper itself

Abstract

In a real world search, it can be important to keep 'an eye out' for items of interest that are not the primary subject of the search. For instance, you might look for the exit sign on the freeway, but you should also respond to the armadillo crossing the road. In medicine, these items are known as "incidental findings," findings of possible clinical significance that were not the main object of search. These errors (e.g., missing a broken rib while looking for pneumonia) have medical consequences for the patient and potential legal consequences for the physician. Here we report three experiments intended to develop a 'model system' for incidental findings - a paradigm that could be used in the lab to develop strategies to reduce incidental finding errors in the clinic. All the experiments involve 'hybrid' visual search for any of several targets held in memory. In this 'mixed hybrid search task,' observers search for any of three specific targets (e.g., this rabbit, this truck, and this spoon) and three categorical targets (e.g., masks, furniture, and plants). The hypothesis is that the specific items are like the specific goals of a real world search and the categorical targets are like the less well-defined incidental findings that might be present and that should be reported. In all these experiments, varying target prevalence, number of targets, etc., the categorical targets are missed at a much higher rate than the specific targets. This paradigm shows promise as a model of the incidental finding problem.

Indexed as

ErrorsHybrid searchIncidental findingsRadiologyVisual search

Identifiers

PMID28890920
PMCPMC5569644

What OpenQuestion holds

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LicenceCC BY
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.