Evidence map›Paper›PMID 20719472›Full record

ArticleJournal of clinical epidemiology2011

Weighted index explained more variance in physical function than an additively scored functional comorbidity scale.

Linda Resnik, Pedro Gozalo, Dennis L Hart

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. 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

3 authors.

Linda ResnikProvidence VA Medical Center, Department of Community Health, Box G-S121(6), Brown University, Providence, RI 02908, USA. linda_resnik@brown.edu
Pedro Gozalo
Dennis L Hart

Funding

Refining Models for Risk Adjustment in Outpatient RehabilitationR03HD053780 · NICHD · BROWN UNIVERSITY · PI RESNIK, LINDA J. · 2007 to 2008
$157k
NICHD NIH HHS R03 HD053780
6 · The paper itself

Abstract

objective1) examine association between the Functional Comorbidity Index (FCI) and discharge functional status (FS); 2) examine impact of FCI on FS when added to comprehensive models; and 3) compare additive FCI with weighted FCI and list of condition variables (list). STUDY DESIGN AND

settingPatients were drawn from Focus On Therapeutic Outcomes, Inc. (FOTO) database (1/1/06-12/31/07). FS collected using computer adaptive tests. Linear regression examined association between FCI and FS. Three methods of including functional comorbidities (FC) were compared.

resultsRelationship between FCI and FS varied by group (range, 0.02-0.9). Models with weighted index or list had similar R². Weighted FCI or list increased R² of crude models by <0.01 for cervical, shoulder, and lumbar; by 0.01 for wrist/hand, knee, and foot/ankle; by 0.02 for hip; by 0.03 for elbow; and by 0.08 for neurological. Addition of FCI to comprehensive models added <0.01 to R² (all groups). Weighted FCI increased R² by <0.01 for cervical, lumbar, and shoulder; by 0.01 for wrist/hand, hip, knee, and foot/ankle; by 0.02 for elbow; and by 0.04 for neurological; whereas list increased R² by <0.01 for cervical, shoulder, and lumbar; by 0.01 for knee and foot/ankle; by 0.02 for elbow, wrist/hand, and hip; and by 0.05 for neurological.

conclusionList of comorbidities or weighted FCI is preferable to using additive FCI.

Indexed as

Outcome Assessment, Health CarePhysical Therapy ModalitiesRecovery of FunctionAmbulatory CareComorbidityEpidemiologic MethodsFemaleHumansMaleMiddle AgedMusculoskeletal DiseasesPatient DischargeTreatment Outcome

Identifiers

PMID20719472
PMCPMC2989420

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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.