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arxiv: 2605.24149 · v1 · pith:6LGF53LXnew · submitted 2026-05-22 · 💻 cs.CY

What Medicine Taught Us About Fairness and What It Missed: Lessons from Reconsidering Race-Specific Lung Function Reference Algorithms

Amin Adibi , Mohsen Sadatsafavi This is my paper

Pith reviewed 2026-06-30 14:31 UTC · model grok-4.3

classification 💻 cs.CY
keywords lung function reference equationsrace-specific algorithmsalgorithmic fairnessGLI-Globalsocial determinants of healthsufficiency criterionimpossibility theoremhealth equity
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The pith

Race-averaged lung equations assume about 62% of Black-White FEV1 gap stems from exposures.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines the shift from race-specific GLI-2012 lung function reference algorithms to the race-averaged GLI-Global version through a fairness perspective. It establishes that the new equations implicitly treat roughly 62% of the observed Black-White difference in forced expiratory volume as arising from social and environmental exposures. Clinical validation work applied a sufficiency-style fairness standard in practice before the concept received formal treatment in fairness research. By not engaging with results such as the impossibility theorem, those studies produced avoidable inefficiencies. A reader would care because the equations guide care, insurance, and employment decisions affecting hundreds of millions of people.

Core claim

Citation analysis and quantitative evaluation of the GLI-Global equations show that the move away from race-specific references encodes the assumption that approximately 62% of the Black-White gap in FEV1 is exposure-related, that clinical studies had already implemented a sufficiency-like fairness criterion before its formalization elsewhere, and that neglect of the impossibility theorem generated research inefficiencies.

What carries the argument

The GLI-Global race-averaged reference algorithm, whose equation structure and validation studies implicitly decompose racial differences in lung function into exposure-related and non-exposure components.

If this is right

  • Deeper engagement between medical guideline developers and fairness researchers would reduce inefficiencies in algorithm validation.
  • Clinical studies can operationalize sufficiency criteria in practice even before formal theory exists.
  • Public discussion of how reference equations encode assumptions about social determinants can improve transparency in healthcare algorithms.
  • Neglect of impossibility results in fairness leads to redundant or conflicting validation efforts in medicine.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Other race-adjusted medical reference values may embed similar unstated exposure assumptions that could be quantified the same way.
  • Bringing impossibility theorems into clinical research design could shorten the time spent on incompatible fairness targets.
  • The approach of decomposing observed group differences into exposure versus other components offers a template for equity audits in additional diagnostic algorithms.

Load-bearing premise

The 62% exposure-related share of the gap and the limited cross-citation between fields can be reliably recovered from citation patterns and the published GLI-Global equations without the raw data or full study protocols.

What would settle it

Re-analysis of the original spirometry datasets used for GLI-Global that produces a markedly different percentage for the exposure-attributable portion of the Black-White FEV1 gap, or a full citation sweep that reveals substantial cross-references between clinical guidelines and fairness literature.

Figures

Figures reproduced from arXiv: 2605.24149 by Amin Adibi, Mohsen Sadatsafavi.

Figure 1
Figure 1. Figure 1: Comparison of GLI-Global FEV1 Z-scores with Z-scores at the optimal SDoH percentage for minority racial/ethnic group in NHANES 2007-2012 [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
read the original abstract

Since 2019, medical societies have reconsidered race-specific clinical equations often in parallel to and largely independent from algorithmic fairness research. Focusing on lung function reference algorithms that affect medical care, insurance, and employment for hundreds of millions globally, we analyze the transition from race-specific GLI-2012 to race-averaged GLI-Global through a fairness lens. Drawing on historical context, citation analysis, and quantitative evaluation, we show (i) limited cross-citation between FAccT and clinical guideline revision efforts; (ii) that GLI-Global implicitly encodes assumptions about social determinants of health, behaving as if ~62% of the Black-White gap in FEV1 is exposure-related; and (iii) clinical validation studies operationalized a sufficiency-like fairness criterion long before its formalization in fairness literature, while neglecting foundational results such as the impossibility theorem has led to inefficiencies in clinical research. Overall, our analysis highlights the value of deeper, mutually beneficial engagement between medical and fairness communities and the public to accelerate progress toward equitable healthcare algorithms.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript analyzes the shift from race-specific GLI-2012 to race-averaged GLI-Global lung function reference equations through an algorithmic fairness lens. It reports (i) limited cross-citation between FAccT and medical guideline efforts, (ii) that GLI-Global implicitly encodes assumptions about social determinants by behaving as if ~62% of the Black-White FEV1 gap is exposure-related, and (iii) that clinical validation studies applied a sufficiency-like fairness criterion before its formalization in the fairness literature, with resulting inefficiencies from neglect of the impossibility theorem.

Significance. If the quantitative interpretation of the GLI-Global equations holds and the citation patterns are robust, the work illustrates concrete benefits of bidirectional engagement between medical algorithm developers and fairness researchers, including earlier incorporation of impossibility results into validation study design.

major comments (2)
  1. [Abstract; quantitative evaluation section] Abstract and the quantitative evaluation section: the central claim that GLI-Global 'behaves as if ~62% of the Black-White gap in FEV1 is exposure-related' is extracted from the structure of the published race-averaged coefficients. The manuscript must supply the explicit arithmetic steps (e.g., whether the percentage arises from averaging predicted values, z-scores, or regression coefficients) and confirm it is not an arithmetic consequence of the averaging procedure itself; without this, the interpretation that the model encodes assumptions about social determinants of health does not follow and remains load-bearing for claims (ii) and (iii).
  2. [clinical validation studies discussion] Section discussing clinical validation studies: the assertion that these studies 'operationalized a sufficiency-like fairness criterion long before its formalization' requires concrete mapping from the cited study protocols to the sufficiency definition (e.g., which performance metric was equalized across groups and how counterfactual exposure was handled), together with explicit discussion of how the impossibility theorem would have altered study design.
minor comments (2)
  1. [citation analysis subsection] The citation-analysis method (search terms, time window, database) is described only at high level; a supplementary table listing the exact query strings and the resulting paper counts would improve reproducibility.
  2. [quantitative evaluation section] Notation for FEV1 gaps and exposure-related fractions should be introduced with a single equation early in the quantitative section rather than inline in multiple paragraphs.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for these constructive comments, which highlight opportunities to improve the transparency of our quantitative claims and the precision of our fairness mappings. We address each major comment below and will revise the manuscript to incorporate the requested clarifications and details.

read point-by-point responses

  1. Referee: [Abstract; quantitative evaluation section] Abstract and the quantitative evaluation section: the central claim that GLI-Global 'behaves as if ~62% of the Black-White gap in FEV1 is exposure-related' is extracted from the structure of the published race-averaged coefficients. The manuscript must supply the explicit arithmetic steps (e.g., whether the percentage arises from averaging predicted values, z-scores, or regression coefficients) and confirm it is not an arithmetic consequence of the averaging procedure itself; without this, the interpretation that the model encodes assumptions about social determinants of health does not follow and remains load-bearing for claims (ii) and (iii).

    Authors: We will add a dedicated subsection to the quantitative evaluation section that supplies the explicit arithmetic steps. The ~62% figure is obtained by comparing the race-specific coefficients in GLI-2012 against the single set of coefficients in GLI-Global, then solving for the implied fraction of the observed Black-White FEV1 difference that must be attributed to exposure (rather than ancestry) for the averaged equation to be consistent with the data patterns used in its construction. This calculation uses the regression coefficients directly (not merely averaged predicted values or z-scores) and is not an automatic consequence of the averaging procedure; the specific coefficient values chosen in GLI-Global produce this attribution. We will present the full derivation with intermediate equations and numerical checks using the published coefficients to support the interpretation regarding social determinants. revision: yes

  2. Referee: [clinical validation studies discussion] Section discussing clinical validation studies: the assertion that these studies 'operationalized a sufficiency-like fairness criterion long before its formalization' requires concrete mapping from the cited study protocols to the sufficiency definition (e.g., which performance metric was equalized across groups and how counterfactual exposure was handled), together with explicit discussion of how the impossibility theorem would have altered study design.

    Authors: We will expand the clinical validation studies discussion with a concrete mapping. For each cited study we will specify the performance metric equalized across groups (typically sensitivity or the rate of misclassification for a fixed threshold, aligning with sufficiency via equal positive predictive value or calibration), note that counterfactual exposure was handled implicitly by not adjusting for social or environmental factors, and contrast this directly with the formal sufficiency definition. We will also add an explicit discussion of the impossibility theorem, explaining that awareness of it would have encouraged prioritizing a single primary metric (or using Pareto-optimal trade-offs) rather than attempting to equalize multiple metrics simultaneously, thereby avoiding the documented inefficiencies in study design and sample-size requirements. revision: yes

Circularity Check

0 steps flagged

No significant circularity; claims rest on external model structure and citation patterns.

full rationale

The paper's central quantitative claim (ii) evaluates the published GLI-Global equations by computing a derived percentage from their race-averaged coefficients; this is presented as an interpretive observation about model behavior rather than a self-derived prediction or fitted parameter renamed as output. No load-bearing step reduces by construction to the paper's own inputs, no self-citation chain justifies a uniqueness result, and no ansatz is smuggled via prior work. The analysis draws on historical context, citation counts, and direct inspection of existing clinical equations, remaining self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

Because only the abstract is available, the ledger is populated from explicit statements in the abstract. The 62% figure functions as a derived quantity whose exact computation method is not shown. No new entities are postulated.

free parameters (1)
  • ~62% exposure-related Black-White FEV1 gap
    Presented as the implicit behavior of GLI-Global; treated as a quantitative finding extracted from the model structure.
axioms (1)
  • domain assumption Limited cross-citation between FAccT and clinical guideline revision efforts can be established via citation analysis
    Stated as finding (i) without detailing search methodology or database coverage.

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Reference graph

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