Evidence map›Paper›PMID 11980584›Full record

ReviewRespiratory research2002

Genetic polymorphisms in lung disease: bandwagon or breakthrough?

Michael C Iannuzzi, Mary Maliarik, Benjamin Rybicki

Abstract readReview
In one paragraph

Review in Respiratory research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Gallium Resistance inApplied microbiology (Basel, Switzerland) · 2025
    Article
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  7. 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

3 authors.

Michael C IannuzziDivision of Pulmonary, Critical Care, Henry Ford Health System, Detroit, Michigan, USA. Miannuz1@HFHS.org
Mary Maliarik
Benjamin Rybicki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of genetic polymorphisms has touched every aspect of pulmonary and critical care medicine. We review recent progress made using genetic polymorphisms to define pathophysiology, to identify persons at risk for pulmonary disease and to predict treatment response. Several pitfalls are commonly encountered in studying genetic polymorphisms, and this article points out criteria that should be applied to design high-quality genetic polymorphism studies.

Indexed as

AnimalsGenetic Predisposition to DiseaseHumansLung DiseasesPolymorphism, Genetic

Identifiers

PMID11980584
PMCPMC107844

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.