Evidence map›Paper›PMID 34322549›Full record

ArticleERJ open research2021

Haemoglobin as a biomarker for clinical outcomes in chronic obstructive pulmonary disease.

Aparna Balasubramanian, Robert J Henderson, Nirupama Putcha, Ashraf Fawzy, Sarath Raju, Nadia N Hansel, Neil R MacIntyre, Robert L Jensen, Gregory L Kinney, William W Stringer and 8 more

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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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

18 authors at 8 institutions in 1 country.

Aparna BalasubramanianDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Robert J HendersonDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nirupama PutchaDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Ashraf FawzyDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Sarath RajuDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nadia N HanselDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Neil R MacIntyreDivision of Pulmonary and Critical Care Medicine, Duke University, Durham, NC, USA.
Robert L JensenDivision of Pulmonary and Critical Care Medicine, University of Utah, Salt Lake City, UT, USA.
Gregory L KinneyDept of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, CO, USA.ORCID https://orcid.org/0000-0002-5218-4986
William W StringerLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Russell P BowlerDivision of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, CO, USA.
Richard CasaburiLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
MeiLan K HanDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Janos PorszaszLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Barry J MakeDept of Epidemiology, Colorado School of Public Health, University of Colorado, Denver, CO, USA.ORCID https://orcid.org/0000-0003-4349-8745
Meredith C McCormackDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.
Robert A WiseDivision of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-8353-2349
Johns Hopkins University · USThe Lundquist Institute · USColorado School of Public Health · USBrigham and Women's Hospital · USDuke University · USNational Jewish Health · USUniversity of Michigan · USUniversity of Utah · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

In COPD, anaemia is associated with increased morbidity, but the relationship between haemoglobin over its entire observed range and morbidity is poorly understood. Such an understanding could guide future therapeutic targeting of haemoglobin in COPD management. Leveraging the COPDGene study, we conducted a cross-sectional analysis of haemoglobin from COPD participants, examining symptoms, quality of life, functional performance, and acute exacerbations of COPD (AECOPD). Haemoglobin was analysed both as a continuous variable and categorised into anaemia, normal haemoglobin, and polycythaemia groups. Fractional polynomial modelling was used for continuous analyses; categorical models were multivariable linear or negative binomial regressions. Covariates included demographics, comorbidities, emphysema, diffusing capacity, and airflow obstruction. From 2539 participants, 366 (14%) were identified as anaemic and 125 (5%) as polycythaemic. Compared with normal haemoglobin, anaemia was significantly associated with increased symptoms (COPD Assessment Test score: p=0.006, modified Medical Research Council (mMRC) Dyspnoea Score: p=0.001); worse quality of life (St. George's Respiratory Questionnaire (SGRQ) score: p<0.001; Medical Outcomes Study Short Form 36-item Questionnaire (SF-36) General Health: p=0.002; SF-36 Physical Health: p<0.001), decreased functional performance (6-min walk distance (6MWD): p<0.001), and severe AECOPD (p=0.01), while polycythaemia was not. Continuous models, however, demonstrated increased morbidity at both ends of the haemoglobin distribution (p<0.01 for mMRC, SGRQ, SF-36 Physical Health, 6MWD, and severe AECOPD). Evaluating interactions, both diffusing capacity and haemoglobin were independently associated with morbidity. We present novel findings that haemoglobin derangements towards either extreme of the observed range are associated with increased morbidity in COPD. Further investigation is necessary to determine whether haemoglobin derangement drives morbidity or merely reflects systemic inflammation, and whether correcting haemoglobin towards the normal range improves morbidity.

Identifiers

PMID34322549
PMCPMC8311135
OpenAlexW3176297052

What OpenQuestion holds

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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.