Evidence map›Paper›PMID 24312192›Full record

ArticlePloS one2013

Is "appearing chronically ill" a sign of poor health? A study of diagnostic accuracy.

Shail Rawal, Mina Atia, Rosane Nisenbaum, Dwayne E Paré, Steve Joorden, Stephen W Hwang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 1 country.

Shail RawalDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mina Atia
Rosane Nisenbaum
Dwayne E Paré
Steve Joorden
Stephen W Hwang
St. Michael's Hospital · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the sensitivity and specificity of a physician's assessment that a patient "appears chronically ill" for the detection of poor health status.

methodsThe health status of 126 adult outpatients was determined using the 12-Item Short Form Health Survey (SF-12). Physician participants (n = 111 residents and faculty) viewed photographs of each patient participant and assessed whether or not the patient appeared chronically ill. For the entire group of physicians, the median sensitivity and specificity of "appearing chronically ill" for the detection of poor health status (defined as SF-12 physical health score below age group norms by at least 1 SD) were calculated. The study took place from February 2009 to January 2011.

resultsForty-two participants (33%) had an SF-12 physical health score ≥1 SD below age group norms, and 22 (18%) had a score ≥2 SD below age group norms. When poor health status was defined as an SF-12 physical score ≥1 SD below age group norms, the median sensitivity was 38.1% (IQR 28.6-47.6%), specificity 78.6% (IQR 69.0-84.0%), positive likelihood ratio 1.64 (IQR 1.42-2.15), and negative likelihood ratio 0.82 (IQR 0.74-0.87). For an SF-12 physical score ≥2 SD below age group norms, the median sensitivity was 45.5% (IQR 36.4-54.5%), specificity 76.9% (IQR 66.3-83.7%), positive likelihood ratio 1.77 (IQR 1.49-2.25), and negative likelihood ratio 0.75 (IQR 0.66-0.86).

conclusionsOur study suggests that a physician's assessment that a patient "appears chronically ill" has poor sensitivity and modest specificity for the detection of poor health status in adult outpatients. The associated likelihood ratios indicate that this assessment may have limited diagnostic value.

Indexed as

Health StatusHealth Status IndicatorsAgedChronic DiseaseFemaleHumansMaleMiddle AgedSensitivity and Specificity

Identifiers

PMID24312192
PMCPMC3842283
OpenAlexW2002804451

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.