A research database for improved data management and analysis in longitudinal studies.

R A Bielefeld, T S Yamashita, E F Kerekes, E Ercanli, L T Singer

Abstract read

In one paragraph

Article in M.D. computing : computers in medical practice. 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

–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

1 citing paper in PubMed.

Developing the Minimum Dataset for the New Mexico Decedent Image Database.Applied clinical informatics · 2021
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

5 authors.

R A BielefeldDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA.

T S Yamashita

E F Kerekes

E Ercanli

L T Singer

Funding

DEVELOPMENTAL SEQUELAE OF SEVERE CHRONIC LUNG DISORDERSR01HL038193 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI SINGER, LYNN T · 1989 to 1993

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NHLBI NIH HHS R01 HL038193NHLBI NIH HHS R0I-HL 38193PHS HHS MCJ 390592

6 · The paper itself

Abstract

We developed a research database for a five-year prospective investigation of the medical, social, and developmental correlates of chronic lung disease during the first three years of life. We used the Ingres database management system and the Statit statistical software package. The database includes records containing 1300 variables each, the results of 35 psychological tests, each repeated five times (providing longitudinal data on the child, the parents, and behavioral interactions), both raw and calculated variables, and both missing and deferred values. The four-layer menu-driven user interface incorporates automatic activation of complex functions to handle data verification, missing and deferred values, static and dynamic backup, determination of calculated values, display of database status, reports, bulk data extraction, and statistical analysis.

Indexed as

Database Management SystemsData Interpretation, StatisticalMedical Records Systems, ComputerizedSoftwareBronchopulmonary DysplasiaChild, PreschoolFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleProspective Studies

Identifiers

PMID7596250

PMCPMC4197451

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.